Unsupervised detection and tracking of moving objects for video surveillance applications

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Adaptive background mixture models for real-time tracking

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Face recognition

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High-Speed Tracking with Kernelized Correlation Filters

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Online Object Tracking: A Benchmark

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Real-time tracking of non-rigid objects using mean shift

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Non-parametric Model for Background Subtraction

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Background subtraction techniques: a review

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Particle filters for positioning, navigation, and tracking

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Detecting moving objects, ghosts, and shadows in video streams

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Online selection of discriminative tracking features

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An adaptive color-based particle filter

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On-line Boosting and Vision

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Robust object tracking via sparsity-based collaborative model

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Robust visual tracking via multi-task sparse learning

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Evaluation of background subtraction techniques for video surveillance

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Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

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Recognizing actions using depth motion maps-based histograms of oriented gradients

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Robust tracking-by-detection using a detector confidence particle filter

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Fast Compressive Tracking

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Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle

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Context tracker: Exploring supporters and distracters in unconstrained environments

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Robust Video Surveillance for Fall Detection Based on Human Shape Deformation

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GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs

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Pedestrian detection for driving assistance systems: single-frame classification and system level performance

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Video object tracking using adaptive Kalman filter

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Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans

Li, Y., Ai, H., Yamashita, T., Lao, S., & Kawade, M. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.73 · Cited by 284 · see citing works

Multi-target tracking by on-line learned discriminative appearance models

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An Adaptive Longitudinal Driving Assistance System Based on Driver Characteristics

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Ml-rbf: RBF Neural Networks for Multi-Label Learning

Zhang, M.-L. (2009) · Neural Processing Letters · doi:10.1007/s11063-009-9095-3 · Cited by 198 · see citing works

Probabilistic Posture Classification for Human-Behavior Analysis

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Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors

Chan, C. H., Tahir, M. A., Kittler, J., & Pietikäinen, M. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.199 · Cited by 180 · see citing works

Fuzzy Target Tracking Control of Autonomous Mobile Robots by Using Infrared Sensors

Li, T.-H. S., Chang, S.-J., & Tong, W. (2004) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2004.832526 · Cited by 180 · see citing works

Locally Orderless Tracking

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Implementation of an rbf neural network on embedded systems: real-time face tracking and identity verification

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Real time hand tracking by combining particle filtering and mean shift

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A simple vision-based fall detection technique for indoor video surveillance

Chua, J.-L., Chang, Y. C., & Lim, W. K. (2013) · Signal Image and Video Processing · doi:10.1007/s11760-013-0493-7 · Cited by 142 · see citing works

Object recognition and tracking for remote video surveillance

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Online robust image alignment via iterative convex optimization

Wu, Y., Shen, B., & Ling, H. (2012) · 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.2012.6247878 · Cited by 130 · see citing works

Mobile robot navigation and target tracking system

Benavidez, P. J., & Jamshidi, M. M. (2011) · International Conference on System of Systems Engineering · doi:10.1109/sysose.2011.5966614 · Cited by 108 · see citing works

Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: Learning Automata Approach

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2003 IEEE International Conference On Systems, Man And Cybernetics

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Object Tracking in Structured Environments for Video Surveillance Applications

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RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance

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Multiple Object Tracking Using Particle Filters

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Real-time outdoor video surveillance with robust foreground extraction and object tracking via multi-state transition management

Lei, B., & Xu, L.-Q. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2006.02.017 · Cited by 57 · see citing works

Hierarchical abnormal event detection by real time and semi-real time multi-tasking video surveillance system

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Stationary foreground detection using background subtraction and temporal difference in video surveillance

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Autonomous detection and tracking under illumination changes, occlusions and moving camera

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Automatic detection of anomalous behavioural events for advanced real-time video surveillance

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Finding behavioural anomalies in public areas using video surveillance data

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Face recognition and tracking for human-robot interaction*

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Real-Time Tracking with Classifiers

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Robust tracking with adaptive appearance learning and occlusion detection

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A review of video surveillance systems

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A Survey of Video Surveillance Systems in Smart City

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A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

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Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction

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Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features

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Efficient multiple moving object detection and tracking using combined background subtraction and clustering

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Visual object tracking via the local soft cosine similarity

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Joint spatial-temporal attention for action recognition

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Deep generative video prediction

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A (2+1)D Attention Convolutional Neural Network for Video Prediction

Phung, T., Nguyen, V. T., Thu, T. H., & Vu, D.-Q. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-97610-1_31 · Cited by 9 · see citing works

Evaluating the AdaBoost Algorithm for Biometric-Based Face Recognition

Thilagavathi, B., Suthendran, K., & Raju, K. S. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-0081-4_67 · Cited by 9 · see citing works

Tracking objects with co‐occurrence matrix and particle filter in infrared video sequences

Elafi, I., Jedra, M., & Zahid, N. (2018) · IET Computer Vision · doi:10.1049/iet-cvi.2017.0359 · Cited by 7 · see citing works

Similar Object Detection and Tracking in H.264 Compressed Video Using Modified Local Self Similarity Descriptor and Particle Filtering

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Performance Analysis of Machine Learning Classification Algorithms in Static Object Detection for Video Surveillance Applications

Begum, S. A., & Askarunisa, A. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07627-1 · Cited by 6 · see citing works

Object tracking using fuzzy-based improved graph, interesting patches and multi-label MRF optimization

Jafari, E., Dolati, A., & Layeghi, K. (2023) · Multimedia Systems · doi:10.1007/s00530-023-01061-6 · Cited by 3 · see citing works

Convolutional neural network based object detection system for video surveillance application

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Early Cancer Diagnosis and Ulcer Classifications In Endoscopy Videos Using Deep Learning Approach

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Survey on similar object detection in H.264 compressed video

Srinivasan, K., Balamurugan, P., & Azhaguramyaa, V. R. (2017) · International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) · doi:10.1109/icammaet.2017.8186663 · Cited by 2 · see citing works

Fuzzy chromatic co-occurrence matrices for tracking objects

Elafi, I., Jedra, M., & Zahid, N. (2018) · Pattern Analysis and Applications · doi:10.1007/s10044-018-0726-z · Cited by 2 · see citing works

Moving Object Detection via Robust Low-Rank and Sparse Separating with High-Order Structural Constraint

Zheng, A., Zhao, Y., Li, C., Tang, J., & Luo, B. (2018) · IEEE International Conference on Multimedia Big Data · doi:10.1109/bigmm.2018.8499057 · Cited by 2 · see citing works

A new object detection and classification method for quality control based on segmentation and geometric features

Aydın, İ., Karaköse, M., Hamsin, G. G., Sarimaden, A., & Akın, E. (2017) · International Artificial Intelligence and Data Processing Symposium (IDAP) · doi:10.1109/idap.2017.8090172 · Cited by 2 · see citing works

GPU-based chromatic co-occurrence matrices for tracking moving objects

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A novel particle swarm tracking system based on chromatic co-occurrence matrices

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Adaptive Multi-Strategy Observation of Kernelized Correlation Filter for Visual Object Tracking

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On the Real Time Object Detection and Tracking

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Accurate Movement Detection of Artificially Intelligent Security Objects

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Study of stability and object tracking of traffic video image for smart cities

Xing, Y., Zhong, L., & Xian, Z. (2024) · Personal and Ubiquitous Computing · doi:10.1007/s00779-024-01786-9 · Cited by 1 · see citing works

A Real-Time Court Detection and Tracking System to Tennis Videos

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Analysis of Daubechies Wavelet Transform Based Human Detection Approaches in Digital Videos

Hemanth, D. J., Popescu, D. E., & Anitha, J. (2018) · IEEE International Conference on Intelligent Engineering Systems (INES) · doi:10.1109/ines.2018.8523904

Refining initial bounding-box for robust visual tracking

Yu, W., Qin, X., Wang, P., & Hou, Z. (2019) · International Conference on Graphics and Image Processing (ICGIP) · doi:10.1117/12.2524220

Implementation of an Adaptive Artificial Vision System Applied to Video Surveillance Tasks on Raspberry Pi

Miguel Pérez, P., & TJPRC (2020) · International journal of mechanical and production engineering research and development · doi:10.24247/ijmperdjun20201043

A Comprehensive Survey on Cutting-Edge Multi-Object Detection Techniques in Real-World Scenes Using Deep Learning

Sunil Kumar Aithal, S., & Acharya, S. (2025) · International Conference on Inventive Systems and Control (ICISC) · doi:10.1109/icisc65841.2025.11187970

Target Recognition

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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

Real-time Facial Recognition Systems: A Survey of Techniques, Applications and Challenges

Abdullah, M., & Khalil, M. (2025) · International Conference on Digital Futures and Transformative Technologies (ICoDT2) · doi:10.1109/icodt269104.2025.11360711

Deep Learning for Chairlift Scene Analysis : Boosting Generalization in Multi-Domain Context

Alqasir, H. (2020) · doi:10.70675/0715d2b1zfeb5z4fc2z975dz05d447a31ed9

Novel Enhanced Particle Filters Approach for Moving Object Detection in Video Surveillance System

Mohanapriya, D., & Kathirvel, C. (2018) · International journal of advance research and innovative ideas in education

An approach for Object Detection and Object Tracking using Background Subtraction

Lad, D. N., & Patel, T. (2016) · International journal of advance research and innovative ideas in education

Automatic detection and tracking of moving objects in complex environments for video surveillance applications

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Efficient Multiple Objects Detection and Tracking using Particle Filter

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OBJECT MOTION DETECTION AND TRACKING BY AN ARTIFICIAL INTELLIGENCE APPROACH

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