Online video synopsis of structured motion
作者： Wei Fu , Jinqiao Wang , Liangke Gui , Hanqing Lu , Songde Ma
DOI: 10.1016/J.NEUCOM.2013.12.041
关键词:
摘要: With the explosive growth of surveillance video data, synopsis technology is presented for fast browsing a day's worth in several minutes. However, most existing solutions, motion structure original videos may be destroyed even considering temporal consistency related objects. To maintain important context cues, this paper, we propose an online preserved approach, which can preserve behavior interactions between different objects while condensing as much content possible. By measuring sociological proximity moving objects, introduce refined term directly added to problem energy minimization. A hierarchical fashion employed efficiently search optimal solution synopsis, both spatial collision and are considered. Experimental results on extensive demonstrate promise proposed approach.
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