Visual Tracking Model Based on Feature-Imagination and Its Application
Multimedia Information Networking and Security（2010）
摘要
It is an important and challenging problem to tack variant-pose target, especially when the appearance of target changes during the period of occlusion. The traditional feature matching methods can not work well under the situations of target pose varying. This paper analyzes the characteristics of human visual tracking, and proposes a visual tracking model based on feature-imagination. Human tracking is realized by using this model combined with the traditional histogram matching method. The experiment results show that our method can perform feature-imagination from the features of human front to the features of human back. Compared with the traditional histogram matching method, the proposed method has obvious advantages in tracking variant-pose target.
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关键词
human front,tack variant-pose target,target change,target tracking,feature imagination,computer graphics,traditional histogram,pose estimation,feature-imagination,histogram matching,variant-pose target,traditional feature,feature extraction,human visual tracking,variant pose target,object detection,visual tracking model,feature matching method,computer vision,occlusion period,occlusion,human tracking,histograms,visual tracking,head,visualization
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