Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment

Object tracking

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Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560 · see citing works

Improved adaptive Gaussian mixture model for background subtraction

Živković, Z. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1333992 · Cited by 1,963 · see citing works

Improved Adaptive Gaussian Mixture Model for Background Subtraction

Živković, Z. (2004) · Cited by 1,680 · see citing works

Human motion analysis: a review

Aggarwal, J. K., & Cai, Q. (2002) · doi:10.1109/namw.1997.609859 · Cited by 1,401 · see citing works

An adaptive color-based particle filter

Nummiaro, K., Koller-Meier, E., & Gool, L. V. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00129-4 · Cited by 1,158 · see citing works

Automatic video-based human motion analyzer for consumer surveillance system

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Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems

Kim, J. K., Yeom, D. H., & Joo, Y. H. (2011) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2011.6018870 · Cited by 113 · see citing works

Distributed intelligence for multi-camera visual surveillance

Remagnino, P., Shihab, A., & Jones, G. A. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2003.09.017 · Cited by 94 · see citing works

Integrating Visual and Range Data for Robotic Object Detection

Gould, S. J., Baumstarck, P., Quigley, M., Ng, A. Y., & Koller, D. (2008) · Cited by 92 · see citing works

People Tracking Using a Time-of-Flight Depth Sensor

Bevilacqua, A., Stefano, L. D., & Azzari, P. (2006) · doi:10.1109/avss.2006.92 · Cited by 85 · see citing works

Real-time foreground segmentation via range and color imaging

Crabb, R., Tracey, C., Puranik, A. S., & Davis, J. (2008) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2008.4563170 · Cited by 81 · see citing works

Cluster tracking with Time-of-Flight cameras

Hansen, D. W., Hansen, H. S., Kirschmeyer, M., Larsen, R., & Silvestre, D. (2008) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2008.4563156 · Cited by 36 · see citing works

Real-time video content analysis tool for consumer media storage system

Han, J., Farin, D., de With, P. H. N., & Lao, W. (2006) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2006.1706483 · Cited by 19 · see citing works

Visual Tracking Using Color Cameras and Time-of-Flight Range Imaging Sensors

Sabeti, L., Parvizi, E., & Wu, Q. M. J. (2008) · Journal of Multimedia · doi:10.4304/jmm.3.2.28-36 · Cited by 17 · see citing works

Visual tracking and segmentation using Time-of-Flight sensor

Arif, O., Daley, W. D. R., Vela, P. A., Teizer, J., & Stewart, J. (2010) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2010.5652979 · Cited by 13 · see citing works

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

Han, J., Shao, L., Xu, D., & Shotton, J. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2265378 · Cited by 1,366 · see citing works

RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

Zhang, Q., Huang, N., Yao, L., Zhang, D., Shan, C., & Han, J. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2959253 · Cited by 247 · see citing works

Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker

Lan, X., Zhang, S., Yuen, P. C., & Chellappa, R. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2777183 · Cited by 209 · see citing works

A Robust Parallel Object Tracking Method for Illumination Variations

Liu, S., Liu, G., & Zhou, H. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-018-1134-8 · Cited by 151 · see citing works

Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

Wu, G., Han, J., Guo, Y., Liu, L., Ding, G., Ni, Q., & Shao, L. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2882155 · Cited by 148 · see citing works

Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System

Lan, X., Ye, M., Shao, R., Zhong, B., Yuen, P. C., & Zhou, H. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2898618 · Cited by 123 · see citing works

Modality-correlation-aware sparse representation for RGB-infrared object tracking

Lan, X., Ye, M., Zhang, S., Zhou, H., & Yuen, P. C. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2018.10.002 · Cited by 121 · see citing works

Deep Multi-View Feature Learning for Person Re-Identification

Tao, D., Guo, Y., Yu, B., Pang, J., & Yu, Z. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2726580 · Cited by 109 · see citing works

Background Subtraction for Moving Object Detection in RGBD Data: A Survey

Maddalena, L., & Petrosino, A. (2018) · Journal of Imaging · doi:10.3390/jimaging4050071 · Cited by 87 · see citing works

Detecting and tracking people in real time with RGB-D camera

Liu, J., Liu, Y., Zhang, G., Zhu, P., & Chen, Y. Q. (2014) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.09.013 · Cited by 83 · see citing works

A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy

Hu, K., Ye, J., Fan, E., Shen, S., Huang, L., & Pi, J. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-152381 · Cited by 76 · see citing works

Robust Collaborative Discriminative Learning for RGB-Infrared Tracking

Lan, X., Ye, M., Zhang, S., & Yuen, P. C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.12307 · Cited by 76 · see citing works

Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle

Dimitrievski, M., Veelaert, P., & Philips, W. R. (2019) · Sensors · doi:10.3390/s19020391 · Cited by 74 · see citing works

Roombots extended: Challenges in the next generation of self-reconfigurable modular robots and their application in adaptive and assistive furniture

Hauser, S., Mutlu, M., Léziart, P., Khodr, H., Bernardino, A. J. M., & Ijspeert, A. J. (2020) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2020.103467 · Cited by 75 · see citing works

A New Approach to Track Multiple Vehicles With the Combination of Robust Detection and Two Classifiers

Min, W., Fan, M., Guo, X., & Han, Q. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2756989 · Cited by 71 · see citing works

ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

Miao, Y., Han, J., Gao, Y., & Zhang, B. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.04.012 · Cited by 66 · see citing works

Robust sparse representation based multi-focus image fusion with dictionary construction and local spatial consistency

Zhang, Q., Shi, T., Wang, F., Blum, R. S., & Han, J. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.06.003 · Cited by 65 · see citing works

Recent advances on multicue object tracking: a survey

Walia, G. S., & Kapoor, R. (2016) · Artificial Intelligence Review · doi:10.1007/s10462-015-9454-6 · Cited by 63 · see citing works

Multiple human tracking in RGB‐depth data: a survey

Camplani, M., Paiement, A., Mirmehdi, M., Damen, D., Hannuna, S., Burghardt, T., & Tao, L. (2016) · IET Computer Vision · doi:10.1049/iet-cvi.2016.0178 · Cited by 55 · see citing works

Deep understanding of shopper behaviours and interactions using RGB-D vision

Paolanti, M., Pietrini, R., Mancini, A., Frontoni, E., & Zingaretti, P. (2020) · Machine Vision and Applications · doi:10.1007/s00138-020-01118-w · Cited by 51 · see citing works

Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features

Chen, C., Zhang, B., Hou, Z., Jiang, J., Liu, M., & Yang, Y. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3284-7 · Cited by 45 · see citing works

Human Motion Tracking by Multiple RGBD Cameras

Liu, Z., Huang, J., Han, J., Bu, S., & Lv, J. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2564878 · Cited by 44 · see citing works

Multi-layer Attention Based CNN for Target-Dependent Sentiment Classification

Zhang, S.-Q., Xu, X., Pang, Y.-W., & Han, J. (2019) · Neural Processing Letters · doi:10.1007/s11063-019-10017-9 · Cited by 41 · see citing works

Passenger flow counting in buses based on deep learning using surveillance video

Hsu, Y.-W., Wang, T.-Y., & Perng, J.-W. (2020) · Optik · doi:10.1016/j.ijleo.2019.163675 · Cited by 43 · see citing works

SensePods: A ZigBee-Based Tangible Smart Home Interface

Khan, W. M., & Zualkernan, I. A. (2018) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2018.2844729 · Cited by 39 · see citing works

BANDT: A Border-Aware Network With Deformable Transformers for Visual Tracking

Yang, K., Zhang, H., Shi, J., & Ma, J. (2023) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2023.3251407 · Cited by 37 · see citing works

Filtered pose graph for efficient kinect pose reconstruction

Plantard, P., Shum, H. P. H., & Multon, F. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3546-4 · Cited by 37 · see citing works

SAR image change detection based on deep denoising and CNN

Cao, X., Ji, Y., Wang, L., Ji, B., Jiao, L., & Han, J. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2018.5172 · Cited by 37 · see citing works

Fast Motion Object Detection Algorithm Using Complementary Depth Image on an RGB-D Camera

Sun, C., Wang, Y.-H., & Sheu, M. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2723599 · Cited by 35 · see citing works

Robust visual tracking via scale-and-state-awareness

Qi, Y., Qin, L., Zhang, S., Huang, Q., & Yao, H. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.10.035 · Cited by 35 · see citing works

Cardiovascular diseases identification using electrocardiogram health identifier based on multiple criteria decision making

Chui, K. T., Tsang, K. F., Wu, C. K., Hung, F. H., Chi, H. R., Chung, H. S.-H., Man, K. F., & Ko, K. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.01.059 · Cited by 34 · see citing works

Pruning Convolutional Neural Networks with an Attention Mechanism for Remote Sensing Image Classification

Zhang, S., Wu, G., Gu, J., & Han, J. (2020) · Electronics · doi:10.3390/electronics9081209 · Cited by 37 · see citing works

Single satellite imagery simultaneous super-resolution and colorization using multi-task deep neural networks

Liu, H., Fu, Z., Han, J., Shao, L., & Liu, H. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2018.02.016 · Cited by 32 · see citing works

Multi-SVM based Dempster–Shafer theory for gesture intention understanding using sparse coding feature

Chen, L., Yu, F., Maram, M. A., Wang, Y., Wu, M., Hirota, K., & Pedrycz, W. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105787 · Cited by 30 · see citing works

Tracking People across Multiple Non-overlapping RGB-D Sensors

Almazán, E. J., & Jones, G. A. (2013) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2013.124 · Cited by 28 · see citing works

Kinect based real-time synthetic aperture imaging through occlusion

Yang, T., Ma, W., Wang, S., Li, J., Jingyi Yu, A., & Zhang, Y. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-2618-1 · Cited by 27 · see citing works

Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments—A Case Study

Zabalza, J., Fei, Z., Wong, C., Yan, Y., Mineo, C., Yang, E., Rodden, T., Mehnen, J., Pham, Q., & Ren, J. (2019) · Sensors · doi:10.3390/s19061354 · Cited by 26 · see citing works

Salient object detection employing a local tree-structured low-rank representation and foreground consistency

Zhang, Q., Huo, Z., Liu, Y., Pan, Y., Shan, C., & Han, J. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.03.023 · Cited by 23 · see citing works

Fusion-Attention Network for person search with free-form natural language

Ji, Z., Li, S., & Pang, Y. (2018) · Pattern Recognition Letters · doi:10.1016/j.patrec.2018.10.020 · Cited by 23 · see citing works

Sensors: Views of Staff of a Disability Service Organization

Wolbring, G., & Leopatra, V. (2013) · Journal of Personalized Medicine · doi:10.3390/jpm3010023 · Cited by 23 · see citing works

Multiple Human Tracking Using Binary Infrared Sensors

Miyazaki, T., & Kasama, Y. (2015) · Sensors · doi:10.3390/s150613459 · Cited by 22 · see citing works

Semi-direct tracking and mapping with RGB-D camera for MAV

Bu, S., Zhao, Y., Wan, G., Li, K., Cheng, G., & Liu, Z. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3524-x · Cited by 21 · see citing works

Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation

Zhan, J., Zhao, H., Zheng, P., Wu, H., & Wang, L. (2019) · Cognitive Computation · doi:10.1007/s12559-019-09662-y · Cited by 21 · see citing works

Hybrid Marker-Based Object Tracking Using Kinect v2

Su, Y., Gao, W., Liu, Z., Sun, S., & Fu, Y. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.2968756 · Cited by 17 · see citing works

Real-time human detection with depth camera via a physical radius-depth detector and a CNN descriptor

Zhao, J., Zhang, G., Tian, L., & Chen, Y. Q. (2017) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2017.8019323 · Cited by 17 · see citing works

Online multiple object tracking via exchanging object context

Yu, H., Qin, L., Huang, Q., & Yao, H. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.068 · Cited by 15 · see citing works

A Siamese Pedestrian Alignment Network for Person Re-identification

Zheng, Y., Zhou, Y. Z., Zhao, J., Jian, M., Yao, R., Liu, B., & Liu, X. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-31654-9_35 · Cited by 15 · see citing works

RGB-D sensor based SLAM and human tracking with Bayesian framework for wheelchair robots

Wu, B., Jen, C.-L., Li, W.-F., Tsou, T.-Y., Tseng, P.-Y., & Hsiao, K.-T. (2013) · International Conference on Advanced Robotics and Intelligent Systems (ARIS) · doi:10.1109/aris.2013.6573544 · Cited by 13 · see citing works

Kernel-Based Semantic Hashing for Gait Retrieval

Zhou, Y., Huang, Y., Hu, Q., & Wang, L. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2766199 · Cited by 13 · see citing works

Cross-view gait recognition based on residual long short-term memory

Wen, J., & Wang, X. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11107-4 · Cited by 12 · see citing works

Indoor scene understanding via RGB-D image segmentation employing depth-based CNN and CRFs

Li, W., Gu, J., Dong, Y., Dong, Y., & Han, J. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07882-w · Cited by 12 · see citing works

Smart Sensing Supporting Energy-Efficient Buildings

Monti, L., Mirri, S., Prandi, C., & Salomoni, P. (2019) · EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) · doi:10.1145/3342428.3342691 · Cited by 12 · see citing works

Spatial-temporal Regularized Multi-modality Correlation Filters for Tracking with Re-detection

Lan, X., Yang, Z., Zhang, W., & Yuen, P. C. (2021) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3430257 · Cited by 12 · see citing works

People Counting in Crowded Environment and Re-identification

Frontoni, E., Paolanti, M., & Pietrini, R. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-28603-3_18 · Cited by 11 · see citing works

Improving Human Action Recognition Using Hierarchical Features And Multiple Classifier Ensembles

Bulbul, M. F., Islam, S., Zhou, Y., & Ali, H. (2019) · The Computer Journal · doi:10.1093/comjnl/bxz123 · Cited by 10 · see citing works

Person re-identification with activity prediction based on hierarchical spatial-temporal model

Li, M., Shen, F., Wang, J., Guan, C., & Tang, J. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.09.064 · Cited by 10 · see citing works

People search based on attributes description provided by an eyewitness for video surveillance applications

Frikha, M., Fendri, E., & Hammami, M. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6245-5 · Cited by 10 · see citing works

A Voronoi-Based Sensor Handover Protocol for Target Tracking in Distributed Visual Sensor Networks

Sung, T., & Yang, C.-S. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/586210 · Cited by 10 · see citing works

Multiple Kinect V2 Calibration

Esparza, D. M. C., Terven, J. R., Jiménez‐Hernández, H., Vázquez‐Cervantes, A., Herrera-Navarro, A. M., & Ramírez-Pedraza, A. (2016) · Automatika · doi:10.7305/automatika.2017.02.1758 · Cited by 10 · see citing works

Superpixel-based color–depth restoration and dynamic environment modeling for Kinect-assisted image-based rendering systems

Wang, C., Chan, S. C., Zhu, Z.-Y., Zhang, L., & Shum, H. (2016) · The Visual Computer · doi:10.1007/s00371-016-1312-2 · Cited by 9 · see citing works

Enhancement of Missing Face Prediction Algorithm with Kalman Filter and DCF-CSR

Maharani, D. A., Machbub, C., & Rusmin, P. H. (2019) · doi:10.1109/iceei47359.2019.8988867 · Cited by 9 · see citing works

Indoor scene recognition via multi-task metric multi-kernel learning from RGB-D images

Zheng, Y., & Gao, X. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3423-1 · Cited by 9 · see citing works

Contact Part Detection From 3D Human Motion Data Using Manually Labeled Contact Data and Deep Learning

Kang, C., Kim, M., Kim, K., & Lee, S. (2023) · IEEE Access · doi:10.1109/access.2023.3331687 · Cited by 8 · see citing works

Tracking persons using a network of RGBD cameras

Galanakis, G., Zabulis, X., Koutlemanis, P., Paparoulis, S., & Kouroumalis, V. (2014) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/2674396.2674467 · Cited by 8 · see citing works

Depth Motion Detection—A Novel RS-Trigger Temporal Logic based Method

Wang, C., Liu, H., & Ma, L. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2313345 · Cited by 8 · see citing works

Towards Multi-resident Activity Monitoring with Smarter Safer Home Platform

Tran, S. N., & Zhang, Q. (2019) · Computer communications and networks · doi:10.1007/978-3-030-25590-9_12 · Cited by 8 · see citing works

A sensor and video based ontology for activity recognition in smart environments

Mitchell, D., Morrow, P., & Nugent, C. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944979 · Cited by 8 · see citing works

Employing Shadows for Multi-Person Tracking Based on a Single RGB-D Camera

Gai, W., Qi, M., Ma, M., Wang, L., Yang, C., Liu, J., Bian, Y., de Melo, G., Liu, S., & Meng, X. (2020) · Sensors · doi:10.3390/s20041056 · Cited by 8 · see citing works

Region graph based method for multi-object detection and tracking using depth cameras

Mehta, S., & Prabhakaran, B. (2016) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2016.7477568 · Cited by 7 · see citing works

Dual-Resolution Dual-Path Convolutional Neural Networks for Fast Object Detection

Pan, J. S., Sun, H., Song, Z., & Han, J. (2019) · Sensors · doi:10.3390/s19143111 · Cited by 7 · see citing works

Shopper Behaviour Analysis Based on 3D Situation Awareness Information

Mäkelä, S.-M., Järvinen, S., Keränen, T., Lindholm, M., & Vildjiounaite, E. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12811-5_10 · Cited by 7 · see citing works

A Comparison-Based Interface Circuit for Detection of Motion Direction of Humans Using Capacitive Sensor

Makireddy, P., & Vooka, P. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3325250 · Cited by 6 · see citing works

Treasure Hunt with Intelligent Luminaires

Mäkelä, S.-M., Sarjanoja, E.-M., Keränen, T., Järvinen, S., Pentikäinen, V., & Korkalo, O. (2013) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/2523429.2523465 · Cited by 5 · see citing works

A siamese pedestrian alignment network for person re-identification

Zheng, Y., Zhou, Y. Z., Zhao, J., Jian, M., Yao, R., Liu, B., & Chen, Y. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11302-3 · Cited by 5 · see citing works

Element-Weighted Neutrosophic Correlation Coefficient and Its Application in Improving CAMShift Tracker in RGBD Video

Hu, K., Fan, E., Ye, J., Pi, J., Zhao, L., & Shen, S. (2018) · Information · doi:10.3390/info9050126 · Cited by 5 · see citing works

ViT-BF: vision transformer with border-aware features for visual tracking

Yang, K., Zhang, W., Li, P., Liang, J., Peng, T., Chen, J., Li, L., Hu, X., & Liu, J. (2025) · The Visual Computer · doi:10.1007/s00371-025-03964-z · Cited by 5 · see citing works

HiToF

Xie, Z., Ouyang, X., Pan, L., Lu, W., Liu, X., & Xing, G. (2022) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3495243.3558747 · Cited by 4 · see citing works

Object detection and tracking benchmark in industry based on improved correlation filter

Luan, S., Li, Y., Wang, X., & Zhang, B. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6079-1 · Cited by 4 · see citing works

RGB-D People Detection and Tracking from Small-Footprint Ground Robots

Yuan, Z., Zhang, Y., & Duan, R. (2018) · doi:10.1109/iccr.2018.8534489 · Cited by 4 · see citing works

Robust Object Tracking in Infrared Video via Adaptive Weighted Patches

Wang, J., & Zhang, J. (2016) · Mathematical and Computational Applications · doi:10.3390/mca22010003 · Cited by 4 · see citing works

Hierarchical pose net: spatial hierarchical body tree driven multi-person pose estimation

Li, H., Yao, H., & Hou, Y. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15320-1 · Cited by 3 · see citing works

Simultaneous Localization and Human Following for a Wheelchair Robot using a Camera with Depth Information

Wu, B., & Jen, C.-L. (2013) · INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences · doi:10.4156/aiss.vol5.issue10.115 · Cited by 3 · see citing works

Weight Estimation from an RGB-D camera in top-view configuration

Mameli, M., Paolanti, M., Conci, N., Tessaro, F., Frontoni, E., & Zingaretti, P. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412519 · Cited by 3 · see citing works

Learning discriminative features for semi-supervised person re-identification

Cai, H., Huang, L., Zhang, W., & Wei, Z. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11420-y · Cited by 3 · see citing works

A depth-based polar coordinate system for people segmentation and tracking with multiple RGB-D sensors

Almazán, E. J., & Jones, G. A. (2014) · Research Repository (Kingston University London) · Cited by 3 · see citing works

Efficient object motion detection based on RGB-D image

Wang, Y., Sheu, M., & Sun, C. (2015) · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · doi:10.1109/icce-tw.2015.7216986 · Cited by 3 · see citing works

RGB-D Human Identification and Tracking in a Smart Environment

Han, J., & Han, J. (2014) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-08651-4_10 · Cited by 3 · see citing works

Design and Technologies for Understanding Older Adults Social Interactions in Retirement Communities

Rébola, C. B., Ogunmakin, G., & Vela, P. A. (2013) · International Journal of Social Robotics · doi:10.1007/s12369-013-0219-6 · Cited by 3 · see citing works

Multi-support Vector Machine Based Dempster-Shafer Theory for Gesture Intention Understanding

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A three-electrode capacitive based sensing system to determine the direction of motion of humans

Makireddy, P., & Vooka, P. (2022) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas54819.2022.9881369 · Cited by 2 · see citing works

Macro workstep detection for assembly manufacturing

Ahmad, A., Haslgrübler, M., Ferscha, A., Ettinger, B., & Cho, J. (2020) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3389189.3397976 · Cited by 2 · see citing works

Vision system for the automation of ovine carcass processing

Cheng, D. C., Wong, C. K., & Lim, P. P. K. (2014) · Cited by 2 · see citing works

Designing New Experiences in the Smart Home: Multi-camera Person Localization Framework to Document Predefined Situations

Engelbrecht, K.-P., Schmiedeke, S., Quade, M., & Möller, S. (2015) · International Conference on Intelligent Environments (IE) · doi:10.1109/ie.2015.9 · Cited by 1 · see citing works

Spatial Modeling Factors in Sensor-Based Ambient Assisted Living Technologies Designed for Ageing Populations

Al-Hajjar, D., Ehaidib, R. A., Muhanna, S. A., Sohibani, M. A., & Al‐Wabil, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20913-5_34 · Cited by 1 · see citing works

PiPCS: Perspective Independent Point Cloud Simplifier for Complex 3D Indoor Scenes

Ebrahimi, A., & Czarnuch, S. M. (2024) · IEEE Access · doi:10.1109/access.2024.3452633 · Cited by 1 · see citing works

Design and implementation of a same-user identification system in invoked reality space

Jung, Y., Xi, Y., Cho, S., Song, W., Fong, S. J., & Cho, K. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4117-4

Analysis of rotational motion measurement based on HS algorithm

Nong, H.-K., & Guo, B.-W. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2265232

A Method for Multi-user Re-identification in Invoked Reality Space

Jeong, Y., Xi, Y., Park, J., Um, K., & Cho, K. (2016) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-3023-9_169

Visual Tracking Based on Discriminative Compressed Features

Liu, W., & Wang, H. (2018) · Advances in Multimedia · doi:10.1155/2018/7481645

Development of a Counting System Method for Managing Crowd Using Image Sensing Device

Owodolu, A. A., Christian, B. A., Samuel, A. U., & Babaremu, K. O. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/413/1/012059

RGB-D Human Identification and Tracking in a Smart Environment

Han, J., & Han, J. (2014) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-08651-4_10 · Cited by 3 · see citing works

Real-time human tracking using fusion sensor for home security robot

Jung, J.-Y., Dan, B.-K., An, K.-H., Jung, S., & Ko, S.-J. (2012) · International Conference on Consumer Electronics · doi:10.1109/icce.2012.6161797 · Cited by 6 · see citing works

Real-time human detection and tracking in complex environments using single RGBD camera

Liu, J., Liu, Y., Cui, Y., & Chen, Y. Q. (2013) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2013.6738636 · Cited by 35 · see citing works

RGB-D Human Detection and Tracking for Industrial Environments

Munaro, M., Lewis, C. M., Chambers, D. R., Hvass, P., & Menegatti, E. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-08338-4_119 · Cited by 32 · see citing works

Robust Human Detection and Tracking in Intelligent Environments by Information Fusion of Color and Infrared Video

Serrano-Cuerda, J., López, M. T., & Fernández‐Caballero, A. (2011) · International Conference on Intelligent Environments (IE) · doi:10.1109/ie.2011.21 · Cited by 16 · see citing works