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| Person Re-identification of Adaptive Blocks Based on Saliency Fusion |
| CHEN Hongchang CHEN Lei LI Shaomei ZHU Junguang |
| (National Digital Switching System Engineering Technological Research Center, Zhengzhou 450000, China) |
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Abstract In this paper, an adaptive block person re-identification method based on saliency fusion is proposed to solve the problems of the lack of guidance on the rule and size of block in the block matching-based person re-identification, and the differentiation degree between different blocks. Firstly, the heuristic idea is used to determine the initial clustering center, and the size and number of blocks are determined automatically according to the image content. Then, the intra-image salience of each block is calculated using the Area Under the normalized partial Curve (pAUC), the intra-image salience of each block is learned by structured SVM, and the weights of each block are fused as the base of matching Score fusion. Experiments show that this method can achieve better recognition results on the commonly used person re-identification data sets.
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Received: 24 February 2017
Published: 27 June 2017
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| Fund:The National Natural Science Foundation of China (61379151, 61521003), Outstanding Youth Foundation of Henan Province (144100510001) |
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Corresponding Authors:
CHEN Lei
E-mail: b101180011@smail.nju.edu.cn
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