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Online object tracking under complex environments is an important but challenging problem in computer vision, especially for illumination changing and occlusion conditions. With the emergence of commercial real-time depth cameras like Kinect, depth image-based object tracking, which is insensitive to illumination changing, gains more and more attentions. In this paper, we propose an online depth image-based...
We consider the optimization problem of object recognition for real world images. Although several approaches have been proposed, this paper aims to improve the recognition rate with our novel method. In this paper, a full pixel matching based object recognition method in which no advance segmentation procedure is occurred during matching procedure is proposed. Our method compares the similarity of...
Shot segmentation is normally the groundwork for video retrieval, and which is one of the most important steps for content-based video retrieval. Although existing research on shot segmentation is more active, it still remains many challenges. In the paper, based on the principle of video compression, a novel shot segmentation algorithm called grid-mapping dynamic window (GMDW) is proposed by using...
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