A New Hierarchical Particle Filter Based Tracking System for Soccer Game Analysis
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
People detection and tracking algorithm in soccer application
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
A review of vision-based systems for soccer video analysis
Pattern Recognition
A context-based region labeling approach for semantic image segmentation
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Visual knowledge annotation and management by using qualitative spatial information
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
An adaptive sample count particle filter
Computer Vision and Image Understanding
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This paper introduces techniques for segmentation and tracking based on analysis of region derived descriptors. By partitioning the image into a series of homogeneous regions, the problem of object extraction changes from pixel based to database analysis. A region based approach has distinct advantages over pixel. In particular, it has low dimensionality, is resilient to rotation, shear, and photometric changes, preserves boundaries, gives implied segmentation, provides comprehensive description, has reduced drift, and permits detailed analysis. The method is amenable to the introduction of prior knowledge permitting the simplification of segmentation, which is otherwise an ill-posed problem. Objects are defined as collections of contiguous regions with known statistics, allowing their identification by performing correlations in the database. The interframe difference of region based sequences is high for low-motion scenes due to segmentation noise, but performs consistently better for high motion, making it suitable for tracking. When applied to tracking the method proves robust, occlusion insensitive, and unlike the other techniques, it re-establishes lost lock.