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In this paper, we propose a boosted interactively distributed particle filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracking in broadcast soccer video. The interactively distributed particle filter technique (IDPF) is adopted to handle the mutual occlusions among targets. The proposal distribution using a mixture model that incorporates information...
This paper examines and extracts the parallelism in the AdaBoost person detection algorithm on multi-core processors. As multi-core processors become pervasive, effectively executing many threads simultaneously is crucial in harnessing the computation power. Although the application exposes many levels of parallelism, none of them delivers a satisfactory scaling performance on newest multi-core processors...
In this paper, we propose an approach for body detection and tracking with a hierarchical and salient-half-body-prior scheme and apply it in real dynamic scenes. The human region is firstly located by an SVM classifier with histogram of oriented gradients (HOG). Two image observations, motion foreground and edge distance map, are then applied for body detection. In detail, the torso part is first...
Periodicity is useful for compact representation of periodic motion and a reasonable selection of a proper temporal scale for periodic motion analysis. In this paper, we concern the periodicity detection of local motion within an interesting region and present an approach to automatically detect the motion periodicity inherent to local motion under complex condition. The task is challenging as local...
The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-level concepts and statistical models to detect particular events. Based on broadcast sports video production knowledge, we extend our previous work to present a unified framework for mid-level concept generation in this...
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