Tracking and data association
Object Labelling from Human Action Recognition
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Semi-Supervised Adapted HMMs for Unusual Event Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Unified Framework for Tracking through Occlusions and across Sensor Gaps
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ACM Computing Surveys (CSUR)
Map-Enhanced Detection and Tracking from a Moving Platform with Local and Global Data Association
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Tracking and labelling of interacting multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Multimedia Tools and Applications
A review of vision-based systems for soccer video analysis
Pattern Recognition
Multiple and variable target visual tracking for video-surveillance applications
Pattern Recognition Letters
Morphological thick line center detection
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
A method for identification of moving objects by integrative use of a camera and accelerometers
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Radar-based road-traffic monitoring in urban environments
Digital Signal Processing
Soccer ball detection by comparing different feature extraction methodologies
Advances in Artificial Intelligence
Identification and tracking of players in sport videos
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Accurate ball detection in soccer images using probabilistic analysis of salient regions
Machine Vision and Applications
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In this paper, we present a method to perform automatic multiple player detection, unsupervised labeling and efficient tracking in broadcast soccer videos. Player detection is to determine the players' positions and scales. It is achieved by combining the ability of dominant color based background subtraction and a boosting detector with Haar features. We then collect hundreds of player samples with the player detector, and learn codebook based player appearance model by unsupervised clustering algorithm. A player can be labeled as one of four types: two teams, referee or outlier. The learning capability enables the method to be generalized well to different videos without any manually initialization. Based on detection and labeling, we perform multiple player tracking with Markov chain Monte Carlo (MCMC) data association. Some data driven dynamics are proposed to improve the Markov chain's efficiency, such as label and motion consistent and track length. The testing results on FIFA World Cup 2006 videos demonstrate that our method can reach high detection and labeling precision, and reliably tracking in cases of scenes such as player occlusion, moderate camera motion and pose variation.