Computer Science ›› 2008, Vol. 35 ›› Issue (5): 240-242.

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JIANG Peng QIN Xiao-lin (Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Person retrieval and indexing in video sequences are challenging task for many multimedia applications. This paper proposes a new method that indexes the person by their similarity. Firstly, the persons in a shot are detected and tracked through face dete

Key words: Person retrieve, Unsupervised clustering algorithm, Face detection

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