A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Automatic player detection, labeling and tracking in broadcast soccer video
Pattern Recognition Letters
Pattern Recognition Letters
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Tracking the soccer ball using multiple fixed cameras
Computer Vision and Image Understanding
Ground plane velocity estimation embedding rectification on a particle filter multi-target tracking
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Multi person tracking within crowded scenes
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
A review of vision-based systems for soccer video analysis
Pattern Recognition
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
International Journal of Robotics Research
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
ACM Transactions on Intelligent Systems and Technology (TIST)
Bayesian belief network based broadcast sports video indexing
Multimedia Tools and Applications
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models
International Journal of Computer Vision
Proceedings of the 2010 international conference on Video Processing and Computational Video
A multi-resolution framework for multi-object tracking in Daubechies complex wavelet domain
International Journal of Computational Vision and Robotics
Journal of Field Robotics
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Exploiting pedestrian interaction via global optimization and social behaviors
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
Automatic event detection within thrombus formation based on integer programming
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
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Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one another, as in football and surveillance tracking. We present an approach to solving this labeling problem. When isolated, a target can be tracked and its identity maintained. While, if targets interact this is not always the case. This paper assumes a track graph exists, denoting when targets are isolated and describing how they interact. Measures of similarity between isolated tracks are defined. The goal is to associate the identities of the isolated tracks, by exploiting the graph constraints and similarity measures. We formulate this as a Bayesian network inference problem, allowing us to use standard message propagation to find the most probable set of paths in an efficient way. The high complexity inevitable in large problems is gracefully reduced by removing dependency links between tracks. We apply the method to a 10 min sequence of an international football game and compare results to ground truth.