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A low-complexity depth-reliability-based stereo-matching algorithm and an efficient scanline memory-merging implementation scheme are proposed in this paper. The developed algorithm analyzes the accuracy of disparity results by using simple local window-based methods and preserves reliable information only. A bidirectional depth propagation flow is then adopted to fill the unreliable segments by using...
This paper presents a novice method for human and car identification in H.264/AVC compressed video domain. By analyzing the shape and motion vector homogeneity of the segmented objects, we can identify car and human. Our system consists of three main processes: (1) Moving object segmentation based on clustering MVs and Markov Random Field (MRF) iteration, (2) Feature Extraction based on motion analysis...
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