Kernel-based object tracking

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Fast and Robust Object Tracking via Probability Continuous Outlier Model

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Model-Based Vehicle Localization Based on 3-D Constrained Multiple-Kernel Tracking

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Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling

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Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning

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Real-time vehicle detection and tracking using a mean-shift based blob analysis and tracking approach

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Duet: Helping Data Analysis Novices Conduct Pairwise Comparisons by Minimal Specification

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Hyperspectral video target tracking based on pixel-wise spectral matching reduction and deep spectral cascading texture features

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Mean Shift Clustering Algorithm for Data with Missing Values

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Spatial color histogram based center voting method for subsequent object tracking and segmentation

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Iris segmentation in non-ideal images using graph cuts

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Sudden Event Recognition: A Survey

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Mean Shift Algorithm and its Application in Tracking of Objects

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Virtual Contour Guided Video Object Inpainting Using Posture Mapping and Retrieval

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Tracking by Third-Order Tensor Representation

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Adaptive Probabilistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D Model

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Combining Colour and Orientation for Adaptive Particle Filter–based Tracking

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Affine Object Tracking with Kernel-Based Spatial-Color Representation

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Improved infrared target-tracking algorithm based on mean shift

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Tennis Ball Tracking Using a Two-Layered Data Association Approach

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Feature-Based Color Correction of Multiview Video for Coding and Rendering Enhancement

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A probabilistic integrated object recognition and tracking framework

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Robust hand tracking via novel multi-cue integration

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Robust depth-based object tracking from a moving binocular camera

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Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality

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Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background

Ong, K. M., Ong, P., Kiong, S. C., & Low, E. S. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105625 · Cited by 28

Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter under Complex Transportation Environments

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Non-Contact Heart Rate Measurement From Facial Video Data Using a 2D-VMD Scheme

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Experiment and analysis on microscopic characteristics of pedestrian movement in building bottleneck

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Consistent Stereo Matching Under Varying Radiometric Conditions

Jung, I.-L., Chung, T.-Y., Sim, J.-Y., & Kim, C. (2012) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2012.2225041 · Cited by 28

Multiple and variable target visual tracking for video-surveillance applications

Pantrigo, J. J., Hernández, J., & Sánchez, Á. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.04.017 · Cited by 28

Combining multiple tracking modalities for vehicle tracking at traffic intersections

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Simplifying Mixture Models through Function Approximation

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Detecting Motion through Dynamic Refraction

Alterman, M., Schechner, Y. Y., Perona, P., & Shamir, J. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.192 · Cited by 28

Image processing techniques for metallic object detection with millimetre-wave images

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ROV-based Underwater Vision System for Intelligent Fish Ethology Research

Nian, R., He, B., Yu, J., Bao, Z., & Wang, Y. (2013) · International Journal of Advanced Robotic Systems · doi:10.5772/56800 · Cited by 28

Robust Spacecraft Hovering Near Small Bodies in Environments with Unknown Dynamics Using Reinforcement Learning

Gaudet, B., & Furfaro, R. (2012) · AIAA/AAS Astrodynamics Specialist Conference and Exhibit · doi:10.2514/6.2012-5072 · Cited by 28

Properties of Mean Shift

Yamasaki, R., & Tanaka, T. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2913640 · Cited by 28

The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling

Neiswanger, W., Wood, F., & Xing, E. P. (2018) · doi:10.1184/r1/6476396 · Cited by 28

Differential Tracking based on Spatial-Appearance Model (SAM)

Yu, T., & Wu, Y. N. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.98 · Cited by 28

An approach based on mean shift and KALMAN filter for target tracking under occlusion

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Arbitration algorithm of FIR filter and optical flow based on ANFIS for visual object tracking

Choi, I. H., Pak, J. M., Ahn, C. K., Lee, S., Lim, M. T., & Song, M. K. (2015) · Measurement · doi:10.1016/j.measurement.2015.07.020 · Cited by 27

Visual Tracking by Adaptive Kalman Filtering and Mean Shift

Karavasilis, V., Nikou, C., & Likas, A. C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12842-4_19 · Cited by 27

Video-Based Tracking, Learning, and Recognition Method for Multiple Moving Objects

Sakaino, H. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2255400 · Cited by 27

Speeded Up Low-Rank Online Metric Learning for Object Tracking

Cong, Y., Fan, B., Liu, J., Luo, J., & Yu, H. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2355692 · Cited by 27

Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification

Battiato, S., Farinella, G. M., Gallo, G., & Ravì, D. (2010) · EURASIP Journal on Image and Video Processing · doi:10.1155/2010/919367 · Cited by 27

Adaptive multi-cue based particle swarm optimization guided particle filter tracking in infrared videos

Zhang, M., Xin, M., & Yang, J. (2013) · Neurocomputing · doi:10.1016/j.neucom.2013.05.041 · Cited by 27

Self-Aware and Self-Expressive Camera Networks

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Adaptive Appearance Model and Condensation Algorithm for Robust Face Tracking

Lui, Y. M., Beveridge, J. R., & Whitley, L. D. (2010) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2010.2041655 · Cited by 27

Distribution Cognisant Loss for Cross-Database Facial Age Estimation With Sensitivity Analysis

Akbari, A., Awais, M., Feng, Z., Farooq, A., & Kittler, J. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3029486 · Cited by 27

Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos

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Adaptive Kalman Filtering for Histogram-Based Appearance Learning in Infrared Imagery

Venkataraman, V., Fan, G., Havlicek, J., Fan, X., Zhai, Y., & Yeary, M. B. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2210233 · Cited by 27

Joint Registration and Active Contour Segmentation for Object Tracking

Ning, J., Lei Zhang, A., Zhang, D. D., & Yu, W. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2254931 · Cited by 27

Human Activity Recognition via 3-D joint angle features and Hidden Markov models

Uddin, M. Z., Thang, N. D., & Kim, T. (2010) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2010.5651953 · Cited by 27

Multiple object tracking with partial occlusion handling using salient feature points

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Optimal Image and Video Closure by Superpixel Grouping

Levinshtein, A., Sminchisescu, C., & Dickinson, S. (2012) · International Journal of Computer Vision · doi:10.1007/s11263-012-0527-6 · Cited by 27

Active contours for video object tracking using region, boundary and shape information

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Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative, and Hybrid

Lei, Y., Ding, X., & Wang, S. (2008) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2008.928226 · Cited by 27

Taylor expansion based classifier adaptation: Application to person detection

Zhang, C., Hamid, R., & Zhang, Z. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587801 · Cited by 27

Vehicle Tracking and Speed Measurement system (VTSM) based on novel feature descriptor: Diagonal Hexadecimal Pattern (DHP)

Jeyabharathi, D., & Dejey, D. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.08.011 · Cited by 27

Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images

Alkhatib, M., Hafiane, A., Tahri, O., Vieyres, P., & Delbos, A. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.03.013 · Cited by 27

Adversarial Deep Tracking

Zhao, F., Wang, J., Wu, Y., & Tang, M. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2856540 · Cited by 27

ReMotENet: Efficient Relevant Motion Event Detection for Large-Scale Home Surveillance Videos

Yu, R., Wang, H., & Davis, L. S. (2018) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2018.00183 · Cited by 27

Human appearance modeling for matching across video sequences

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Object tracking based on improved MeanShift and SIFT

Du, K., Ju, Y., Jin, Y., Li, G., Li, Y., & Qian, S. (2012) · 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) · doi:10.1109/cecnet.2012.6201691 · Cited by 27

On the convergence of the mean shift algorithm in the one-dimensional space

Ghassabeh, Y. A. (2013) · Pattern Recognition Letters · doi:10.1016/j.patrec.2013.05.004 · Cited by 27

Players tracking and ball detection for an automatic tennis video annotation

Teachabarikiti, K., Chalidabhongse, T. H., & Thammano, A. (2010) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv.2010.5707906 · Cited by 27

Spatio-temporal feature extraction-based hand gesture recognition for isolated American Sign Language and Arabic numbers

Elmezain, M., Al-Hamadi, A. K., Pathan, S. S., & Michaelis, B. (2009) · International symposium on image and signal processing and analysis/ISPA ... · doi:10.1109/ispa.2009.5297719 · Cited by 27

A set theoretical method for video synopsis

Xu, M., Li, S. Z., Li, B., Yuan, X., & Xiang, S. (2008) · Multimedia Information Retrieval · doi:10.1145/1460096.1460156 · Cited by 27

A discrete choice modeling framework for pedestrian walking behavior with application to human tracking in video sequences

Antonini, G. (2005) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.5075/epfl-thesis-3382 · Cited by 27

Spatial Neighborhood-Constrained Linear Coding for Visual Object Tracking

Liu, H., Yuan, M., Sun, F., & Zhang, J. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2013.2247613 · Cited by 26

A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation

Punithakumar, K., Yuan, J. Y., Ayed, I. B., Li, S., & Boykov, Y. Y. (2012) · SIAM Journal on Imaging Sciences · doi:10.1137/110850372 · Cited by 26

Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections

Veeraraghavan, H., Schrater, P., & Papanikolopoulos, N. (2005) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/.2005.1467180 · Cited by 26

Efficient Content Analysis Engine for Visual Surveillance Network

Chan, W.-K., Chang, J.-Y., Chen, T., Tseng, Y.-H., & Chien, S. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2017408 · Cited by 26

Guidewire tracking using a novel sequential segment optimization method in interventional X-ray videos

Chen, B.-J., Wu, Z., Sun, S., Zhang, D., & Chen, T. (2016) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2016.7493221 · Cited by 26

A new hybrid optimization method combining moth–flame optimization and teaching–learning-based optimization algorithms for visual tracking

Reddy, K. N., & Bojja, P. (2020) · Soft Computing · doi:10.1007/s00500-020-05032-1 · Cited by 26

Tracking video objects with feature points based particle filtering

Gao, T., Li, G., Lian, S., & Zhang, J. (2011) · Multimedia Tools and Applications · doi:10.1007/s11042-010-0676-y · Cited by 26

Using Gaussian Process Annealing Particle Filter for 3D Human Tracking

Raskin, L., Rivlin, E., & Rudzsky, M. (2007) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2008/592081 · Cited by 26

A Markov logic framework for recognizing complex events from multimodal data

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Dimensionality reduction using a Gaussian Process Annealed Particle Filter for tracking and classification of articulated body motions

Raskin, L., Rudzsky, M., & Rivlin, E. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.12.002 · Cited by 26

Efficient and robust fragments-based multiple kernels tracking

Fang, J., Yang, J., & Liu, H. (2011) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2011.02.013 · Cited by 26

Face and Hands Detection and Tracking Applied to the Monitoring of Medication Intake

Ammouri, S., & Bilodeau, G.-A. (2008) · Canadian Conference on Computer and Robot Vision · doi:10.1109/crv.2008.20 · Cited by 26

Informing intelligent user interfaces by inferring affective states from body postures in ubiquitous computing environments

Tan, C. S. S., Schöning, J., Luyten, K., & Coninx, K. (2013) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/2449396.2449427 · Cited by 26

Vehicle detection and tracking using Mean Shift segmentation on semi-dense disparity maps

Lefebvre, S., & Ambellouis, S. (2012) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2012.6232280 · Cited by 26

Approximate Bayesian methods for kernel-based object tracking

Živković, Z., Cemgil, A. T., & Kröse, B. (2009) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.12.008 · Cited by 26

A SURVEY ON VIDEO DETECTION AND TRACKING OF MARITIME VESSELS

Moreira, R. D. S., Ebecken, N. F. F., Alves, A. S., Livernet, F., Campillo-Navetti, A., Ipiru, R., & Navales, T. (2014) · Cited by 26

Vision-Based Crane Tracking for Understanding Construction Activity

Yang, J., Vela, P. A., Teizer, J., & Shi, Z. K. (2011) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/41182(416)32 · Cited by 26

Interactive Mobile Augmented Reality System for Image and Hand Motion Tracking

Chiu, P.-H., Tseng, P., & Feng, K. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2864893 · Cited by 26

Spatiotemporal Closure

Levinshtein, A., Sminchisescu, C., & Dickinson, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-19315-6_29 · Cited by 26

Robust object tracking with crow search optimized multi-cue particle filter

Walia, G. S., Kumar, A., Saxena, A., Sharma, K., & Singh, K. (2019) · Pattern Analysis and Applications · doi:10.1007/s10044-019-00847-7 · Cited by 26

Hand Gesture Recognition Based On Combined Features Extraction

Elmezain, M., Al-Hamadi, A. K., & Michaelis, B. (2009) · doi:10.5281/zenodo.1055804 · Cited by 26

Comparative Study of Adaptive Segmentation Techniques for Gesture Analysis in Unconstrained Environments

Côté, M., Payeur, P., & Comeau, G. (2006) · IEEE International Conference on Imaging Systems and Techniques (IST) · doi:10.1109/ist.2006.1650770 · Cited by 26

Multi-modal face tracking using Bayesian network

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Deep Segmentation and Registration in X-Ray Angiography VideoPreprint

Vlontzos, A., & Mikolajczyk, K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.06406 · Cited by 26

Feature Particles Tracking for Moving Objects

Gao, T., Wang, P., Wang, C., & Yao, Z. (2012) · Journal of Multimedia · doi:10.4304/jmm.7.6.408-414 · Cited by 25

Robust visual tracking using discriminative sparse collaborative map

Zhou, Z., Zhang, W., & Zhao, J. (2019) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-019-01011-7 · Cited by 25

Tracking of 2D or 3D Irregular Movement by a Family of Unscented Kalman Filters

Tao, J., & Klette, R. (2012) · Journal of information and communication convergence engineering · doi:10.6109/jicce.2012.10.3.307 · Cited by 25

Robust tracking via patch-based appearance model and local background estimation

Zhong, B., Chen, Y., Shen, Y., Chen, Y., Cui, Z., Ji, R., Yuan, X., Chen, D., & Chen, W. (2013) · Neurocomputing · doi:10.1016/j.neucom.2013.06.044 · Cited by 25

3D soft-tissue tracking using spatial-color joint probability distribution and thin-plate spline model

Yang, B., Wong, W. K., Liu, C., & Poignet, P. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.03.020 · Cited by 25

Applying centroid based adjustment to kernel based object tracking for improving localization

Mehmood, R., Ali, M. U., & Taj, I. A. (2009) · International Conference on Information and Communication Technologies · doi:10.1109/icict.2009.5267188 · Cited by 6

Robust kernel-based object tracking with multiple kernel centers

Zhang, S., & Bar‐Shalom, Y. (2009) · Cited by 5

Kernel-based target tracking with multiple features fusion

Qiu, X., Liu, S., & Liu, F. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5399515 · Cited by 9

A dual-kernel-based tracking approach for visual target

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Orientation and scale invariant mean shift using object mask-based kernel

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