Object Tracking Algorithms for Video Surveillance Applications

Object Tracking in Structured Environments for Video Surveillance Applications

Zhu, J., Lao, Y., & Zheng, Y. F. (2010) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2031395 · Cited by 93 · see citing works

A field model for human detection and tracking

Wu, Y., & Yu, T. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.87 · Cited by 67 · see citing works

Learning Scene Context for Multiple Object Tracking

Maggio, E., & Cavallaro, A. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2019934 · Cited by 58 · see citing works

Tracking People Motion Based on Extended Condensation Algorithm

García, J., Gardel, A., Bravo, I., Galilea, J. L. L., & Martínez, M. (2013) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmca.2012.2220540 · Cited by 35 · see citing works

Elegant and efficient algorithms for real time object detection, counting and classification for video surveillance applications from single fixed camera

Mohana, & Aradhya, H. V. R. (2016) · doi:10.1109/cimca.2016.8053292 · Cited by 29 · see citing works

Multiple-Human Tracking by Iterative Data Association and Detection Update

Wang, L., Yung, N. H. C., & Xu, L. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2303196 · Cited by 22 · see citing works

Real time objects detection and positioning in multiple regions using single fixed camera view for video surveillance applications

Aradhya, H. V. R., Mohana, & Chikodi, K. A. (2015) · International Conference on Electrical, Electronics, Signals, Communication and Optimization · doi:10.1109/eesco.2015.7253654 · Cited by 9 · see citing works

Real-time object tracking using color-based probability matching

Jansari, D., Parmar, S. K., & Saha, G. (2013) · doi:10.1109/ispcc.2013.6663399 · Cited by 7 · see citing works

Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning

Jogin, M., Mohana, Madhulika, M. S., Divya, G., Meghana, R., & Apoorva, S. (2018) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict42901.2018.9012507 · Cited by 586 · see citing works

Real Time Object Detection and Tracking Using Deep Learning and OpenCV

Chandan, G., Jain, A., Jain, H., & Mohana (2018) · International Conference on Inventive Research in Computing Applications (ICIRCA) · doi:10.1109/icirca.2018.8597266 · Cited by 297 · see citing works

A Survey of Video Surveillance Systems in Smart City

Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works

YOLO based Detection and Classification of Objects in video records

Jana, A. P., Biswas, A., & Mohana (2018) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict42901.2018.9012375 · Cited by 93 · see citing works

Anomaly Detection in Videos for Video Surveillance Applications using Neural Networks

Franklin, R. J., Mohana, & Dabbagol, V. (2020) · 2020 Fourth International Conference on Inventive Systems and Control (ICISC) · doi:10.1109/icisc47916.2020.9171212 · Cited by 79 · see citing works

Object Detection and Tracking using Deep Learning and Artificial Intelligence for Video Surveillance Applications

Mohana, & Ravish, H. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0101269 · Cited by 61 · see citing works

Background-modelling techniques for foreground detection and Tracking using Gaussian Mixture Model

Meghana, R., Chitkara, Y., Apoorva, S., & Mohana (2019) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc.2019.8819825 · Cited by 45 · see citing works

Classification of Objects in Video Records using Neural Network Framework

Biswas, A., Jana, A. P., Mohana, & Tejas, S. S. (2018) · International Conference on Smart Systems and Inventive Technology (ICSSIT) · doi:10.1109/icssit.2018.8748560 · Cited by 44 · see citing works

Simulation and Performance Analysis of Feature Extraction and Matching Algorithms for Image Processing Applications

Nehashree, M. R., Pallavi Raj, S., & Mohana (2019) · International Conference on Intelligent Sustainable Systems (ICISS) · doi:10.1109/iss1.2019.8907990 · Cited by 42 · see citing works

NeighborTrack: Single Object Tracking by Bipartite Matching with Neighbor Tracklets and Its Applications to Sports

Chen, Y., Wang, C.-Y., Yang, C.-Y., Chang, H., Lin, Y.-L., Chuang, Y., & Liao, H.-Y. M. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00542 · Cited by 26 · see citing works

Simulation of Object Detection Algorithms for Video Survillance Applications

Mohana, & Aradhya, H. V. R. (2018) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac.2018.8653665 · Cited by 25 · see citing works

Performance Evaluation of Background Modeling Methods for Object Detection and Tracking

Mohana, & Aradhya, H. V. R. (2020) · International Conference on Inventive Systems and Control (ICISC) · doi:10.1109/icisc47916.2020.9171192 · Cited by 21 · see citing works

Real Time Object Recognition Using OpenCV and Numpy in Python

Rakesh, V., Chilukuri, P., Vaishnavi, P., Sreekaran, P., Sujala, P., & Yadav, D. R. K. (2023) · International Conference on Innovative Data Communication Technologies and Application (ICIDCA) · doi:10.1109/icidca56705.2023.10099584 · Cited by 16 · see citing works

Trends in Video Object Tracking in Surveillance: A Survey

Gautam, A., & Singh, S. (2019) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac47947.2019.9032529 · Cited by 15 · see citing works

Multi-object tracking using score-driven hierarchical association strategy between predicted tracklets and objects

Zhao, T., Yang, G., Li, Y., Lu, M., & Sun, H. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105303 · Cited by 13 · see citing works

CNN Real-Time Detection of Vandalism Using a Hybrid -LSTM Deep Learning Neural Networks

Nyajowi, T., Oyie, N. O., & Ahuna, M. (2021) · IEEE AFRICON · doi:10.1109/africon51333.2021.9570902 · Cited by 11 · see citing works

Explaining away results in more robust visual tracking

Gao, B., & Spratling, M. (2022) · The Visual Computer · doi:10.1007/s00371-022-02466-6 · Cited by 8 · see citing works

Object Tracking Based on Optical Flow Reconstruction of Motion-Group Parameters

Karpuzov, S., Petkov, G. H., Ilieva, S., Petkov, A., & Kalitzin, S. (2024) · Information · doi:10.3390/info15060296 · Cited by 7 · see citing works

Object Detection and Action Recognition using Computer Vision

Reddy, M. S. S., Khatravath, P. R., Surineni, N. K., & Mulinti, K. R. (2023) · International Conference on Sustainable Computing and Smart Systems (ICSCSS) · doi:10.1109/icscss57650.2023.10169620 · Cited by 6 · see citing works

An Exploration of Deep Learning-Based Object Detection and Classification in Yakshagana Imagery with YOLOv3

Murthy, A. K., Prathwini, & Kulkarni, S. (2024) · International Conference on Electronics and Sustainable Communication Systems (ICESC) · doi:10.1109/icesc60852.2024.10689830 · Cited by 6 · see citing works

SAFS: Object Tracking Algorithm Based on Self-Adaptive Feature Selection

Guo, W., Gao, J., Tian, Y., Yu, F., & Feng, Z. (2021) · Sensors · doi:10.3390/s21124030 · Cited by 6 · see citing works

Evaluation of Object Tracking System using Open-CV In Python

Vadlamudi, H. (2020) · International Journal of Engineering Research and · doi:10.17577/ijertv9is090281 · Cited by 5 · see citing works

Automated suspect detection system and its current state of art and future research directions

Archana, M., Kavitha, S., & Vathsala, A. V. (2024) · AIP conference proceedings · doi:10.1063/5.0193831 · Cited by 5 · see citing works

More robust object tracking via shape and motion cue integration

Gao, B., & Spratling, M. (2022) · Signal Processing · doi:10.1016/j.sigpro.2022.108628 · Cited by 5 · see citing works

Various Approaches to Object Detection using Deep Learning

Doshi, S., Desai, K., & Mehta, K. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.54966 · Cited by 5 · see citing works

Real Time Pot Hole Detection for Safe Roadways

Ramisetty, S., Sanjana, R., Kanti, S., & Simritha, H. (2023) · International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · doi:10.1109/icses60034.2023.10465289 · Cited by 4 · see citing works

A Systematic Review of Video Analytics Using Machine Learning and Deep Learning—A Survey

Narayankar, P. M., & Baligar, V. P. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-0882-7_58 · Cited by 4 · see citing works

An approach towards Real-Time Object Detector Using Open CV

Kumar, M., & Bhatt, R. (2022) · International Conference on System Modeling & Advancement in Research Trends (SMART) · doi:10.1109/smart55829.2022.10046751 · Cited by 4 · see citing works

Real-Time Object Detection and Tracking Design Using Deep Learning with Spatial–Temporal Mechanism for Video Surveillance Applications

Kusuma, T., & Ashwini, K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-7455-7_56 · Cited by 4 · see citing works

Object Detection using OpenCV and Deep Learning

Balaji, G., V (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.35880 · Cited by 4 · see citing works

Real-time Transformer Vandalism Detection by Application of Tuned Hyper Parameter Deep Learning Model

Nyajowi, T., Oyie, N. O., & Ahuna, M. (2022) · International Journal of Engineering and Advanced Technology · doi:10.35940/ijeat.f3753.0811622 · Cited by 3 · see citing works

Real time object tracking using deep learning and OpenCV

Jin, Z., & Yang, H. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/35/20230406 · Cited by 3 · see citing works

UAV-Assisted Logo Inspection: Deep Learning Techniques for Real- Time Detection and Classification of Distorted Logos

Mohiuddin, M., Hay, O. A., Abubakar, A., Yakubu, M., & Werghi, N. (2024) · International Conference on Robotics, Control and Automation (ICRCA) · doi:10.1109/icrca60878.2024.10649231 · Cited by 3 · see citing works

Detection of the Crown of Thorns starfish using YOLOv5

Kunekar, P. R., Patil, P. V., Bbhagat, B., Patil, T. H., Rajas, N. P., & Sawant, P. Y. (2024) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca63461.2024.10800845 · Cited by 3 · see citing works

Object Detection Using CNN

Naidu, P. B., Anusha, P., Naveena, G., Anusha, T., & Balaji, C. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24apr715 · Cited by 3 · see citing works

Security and Surveillance using Computer Vision

Maan, S., Tyagi, A., Kumar, S., & Kumar, A. (2020) · International Journal of Computer Applications · doi:10.5120/ijca2020920280 · Cited by 3 · see citing works

Facemask detection in real time based single shot based algorithm

Zilpilwar, V., Athavia, A., Deshmukh, A., Padman, S., & Pede, S. V. (2021) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v9i5.5465 · Cited by 2 · see citing works

Facemask Detection to Prevent COVID-19 Disease Using Computer Vision and Deep Learning: Algorithms, Frameworks, Research and Implementation Challenges

Chawla, A., Prasad, M. P., & Mohana (2022) · Advances in intelligent systems and computing · doi:10.1007/978-981-16-7330-6_54 · Cited by 2 · see citing works

Deep Learning based Face Mask Detection system with Automatic Indigation

Pandey, A. K., & Bhaidasna, H. Z. (2022) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i56241.2022.10072561 · Cited by 2 · see citing works

Object Tracking in Surveillance System Using Extended Kalman Filter and ACF Detection

Christine, M., Nuha, H. H., Irsan, M., Putrada, A. G., & Hisham, S. B. I. (2024) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa63652.2024.10836597 · Cited by 1 · see citing works

Real-Time Face Mask Detection Using Raspberry Pi and Camera

Rani, N., Jain, R., Patel, S. S., Ruhela, T., Kumari, P., & Kumawat, R. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-84760-9_65 · Cited by 1 · see citing works

Analysis of Object Classification and Detection Methods to Mitigate Power Utilization

Talokar, S., Narde, G., & Chaudhari, M. (2019) · International Conference on Intelligent Communication and Computational Techniques (ICCT) · doi:10.1109/icct46177.2019.8969025

AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance GuaranteePreprint

Song, H., Suehiro, D., & Uchida, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2009.09237

Object Detection using Open CV and Deep Learning

Channakeshnava Gowda, S., V (2022) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem13199

Object Detection and Identification Using Deep Learning and OpenCV

Dhanke, S., Dave, M., & Dhepe, S. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.48086

Video-based sharp instruments detection for children safety using YOLOv3

Hussein, R. S., Ibrahim, N. J., & Sadiq, A. T. (2023) · AIP conference proceedings · doi:10.1063/5.0150739

Blind assist navigation system using distance estimation in webcam

Rishub, C. R., Harini, S. V., Khan, R. A. A., Sudhersan, N., Vanmathi, M., Ismai, M., & Kumar, M. S. (2023) · AIP conference proceedings · doi:10.1063/5.0149352

ADVANCED DRIVING ASSISTANCE WITH TRACKING AND ACCIDENT AVOIDANCE SYSTEM

Narkhede, M., Potdar, A., Kusalkar, I., Sonawane, P., & Galande, M. (2023) · International Journal of Engineering Applied Sciences and Technology · doi:10.33564/ijeast.2023.v07i09.027

Enhancing Object Detection through Color Analysis

Mr.K.Venkatesan, Sridharan, M. S., Elanchezhiyan, M. M., Sivatharanish, M. S., & Inbathamilan, M. S. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.55591

The Growing Strawberries Dataset: Tracking Multiple Objects with Biological Development over an Extended Period

Wen, J., Verschoor, C., Feng, C., Epure, I.-M., Abeel, T., & Weerdt, M. M. D. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00695

Advancing defense capabilities through integration of electro-optical systems and computer vision technologies

ELRİ, Z., & Ergüzen, A. (2024) · Journal of Computer & Electrical and Electronics Engineering Sciences · doi:10.51271/jceees-0013

Efficient Transformer-based Single-stage RGB-T Tracking with Larger Search Region and Acceleration Mechanism

Xia, J., Wang, X., Shi, D., Jin, S., Zhao, C., Song, L., & Ouyang, Q. (2024) · Asia Conference on Computer Vision, Image Processing and Pattern Recognition (CVIPPR) · doi:10.1145/3663976.3664032

CerConvNet: Cervical Cancer Cells Prediction Using Convolutional Neural Networks

Pallavi, M., Patil, S., Madhusudhan, M., S, S. M., & Vaishnavi, K. (2024) · Informatica · doi:10.31449/inf.v48i3.5905

Real-Time Multi-object Detection and Tracking on Zynq UltraScale+ MPSoc

Prajwal, G. K., Sanjaya, D. S., Wandkar, S. M., & Basawaraj (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-6681-9_7

An Effective Agricultural Produce Object Detection System: YOLOv5-Based Classification

Upadhyay, P., Singh, A., Dubey, A., Shukla, H., Agarwal, R., & Gaur, K. (2025) · International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) · doi:10.1109/cictn64563.2025.10932517

Efficient Representation and Web3D Presentation of Panoramic ICH Videos based on AIGC Content Optimization and Hybrid Storage Architecture

Zhang, Y., & Feng, Y. (2025) · international conference on 3D web technology · doi:10.1145/3746237.3746293

Optical Flow-Based Algorithms for Real-Time Awareness of Hazardous Events

Kalitzin, S., Karpuzov, S., & Petkov, G. H. (2025) · Eng—Advances in Engineering · doi:10.3390/eng6110326

Enhancing Surveillance Systems Transforming Cameras into Intelligent CCTV Systems with CSS: An Experimental Study

Kesavan, R., Kesavan, S., Geetha, R. N., Vidhya, S., Mukunthan, M. A., & Anand, A. J. (2026) · Premier journal of science. · doi:10.70389/pjs.100208

A Comparative Analysis of various Object Tracking Methods from Video Sequences

Vashistha, P., & Gupta, N. (2022) · 2022 1st International Conference on Computational Science and Technology (ICCST) · doi:10.1109/iccst55948.2022.10040345 · Cited by 1 · see citing works

A Review of RealTime Object Detection and Tracking

Nagar, R. R., & Diwanji, H. (2017) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.21596597

Object Tracking Based on Meanshift and Particle-Kalman Filter Algorithm with Multi Features

Iswanto, I. A., Choa, T. W., & Li, B. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.009 · Cited by 21 · see citing works

Deep survey on visual object tracking in surveillance environment

Kaur, K., Khurana, R., & Kushwaha, A. K. S. (2018) · International Conference on Research in Intelligent Computing in Engineering (RICE) · doi:10.1109/rice.2018.8627900 · Cited by 3 · see citing works

Image processing techniques for object tracking in video surveillance- A survey

Ojha, S., & Sakhare, S. R. (2015) · doi:10.1109/pervasive.2015.7087180 · Cited by 167 · see citing works