Chung-Yuan Lin

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The parallel connected component labeling used in binary image analysis is reconsidered in this paper for the high throughput and intermediate memory requirements problem on high dimensional image sequence. It is based on a proposed dual-parallel connected component labeling method. The main idea is to break the sequentiality of the labeling procedure by(More)
—Objects in the world exhibit complex interactions. When captured in a video sequence, some interactions manifest themselves as occlusions. A visual tracking system must be able to track objects which are partially or even fully occluded. Occlusion is a difficult problem in target tracking, especially when users need to track multiple targets simultaneously(More)