Color image processing and applications
Color image processing and applications
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
International Journal of Computer Vision
Robust Object Tracking by Hierarchical Association of Detection Responses
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Players and ball detection in soccer videos based on color segmentation and shape analysis
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Automatic player detection, tracking and mapping to field model for broadcast soccer videos
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
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In this paper, we propose an efficient video analysis framework to assign broadcast soccer video shots into their respective view classes, and then detect players in long view shots. Our technique is built on dominant color region based segmentation for soccer playfield extraction. A long-view shot classifier uses a combination of "grass-area" ratio and "top-grass" analysis. A player detector applies the distinctive uniform knowledge of interesting objects based on colors referring from the result of playfield. In order to verify the player region segmented using colour, we introduce the four-seed edge features which prune the redundant edges denoting the noise of court lines or audiences. The player detection performance is suitable to employ tracking methods in order to exploit higher semantic information from the games. Experimental evaluation of the framework is extensively demonstrated in numerous challenging test sequences of the 2010 FiFa World Cup South Africa. The results show the robustness of our framework, and the potential future-work.