Maintaining Multi-Modality through Mixture Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Parallel Tracking of All Soccer Players by Integrating Detected Positions in Multiple View Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Tracking Soccer Players using the Graph Representation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Machine Vision and Applications
Automatic player detection, labeling and tracking in broadcast soccer video
Pattern Recognition Letters
Closed-world tracking of multiple interacting targets for indoor-sports applications
Computer Vision and Image Understanding
Tracking the soccer ball using multiple fixed cameras
Computer Vision and Image Understanding
Proposal of a modular system for tracking indoor and outdoor sports
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
A jump-diffusion particle filter for tracking grouped and fragmented objects
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A three-level scheme for real-time ball tracking
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
A review of vision-based systems for soccer video analysis
Pattern Recognition
ACM Transactions on Intelligent Systems and Technology (TIST)
Tracking people in broadcast sports
Proceedings of the 32nd DAGM conference on Pattern recognition
A reliable event-driven strategy for real-time multiple object tracking using static cameras
Advances in Multimedia
Resolving the ambiguity of real-time multiple object tracking using static cameras
International Journal of Intelligent Systems Technologies and Applications
Accurate and fast 3D tracking of dense particle swarms
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
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
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Successful multi-target tracking requires solving two problems – localize the targets and label their identity. An isolated target's identity can be unambiguously preserved from one frame to the next. However, for long sequences of many moving targets, like a football game, grouping scenarios will occur in which identity labellings cannot be maintained reliably by using continuity of motion or appearance. This paper describes how to match targets' identities despite these interactions. Trajectories of when a target is isolated are found. These trajectories end when targets interact and their labellings cannot be maintained. The interactions (merges and splits) of these trajectories form a graph structure. Appropriate feature vectors summarizing particular qualities of each trajectory are extracted. A clustering procedure based on these feature vectors allows the identities of temporally separated trajectories to be matched. Results are shown from a football match captured by a wide screen system giving a full stationary view of the pitch.