Person Re-identification of Adaptive Blocks Based on Saliency Fusion

CHEN Hongchang; CHEN Lei; LI Shaomei; ZHU Junguang

doi:10.11999/JEIT170162

Volume 39 Issue 11

Nov. 2017

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CHEN Hongchang, CHEN Lei, LI Shaomei, ZHU Junguang. Person Re-identification of Adaptive Blocks Based on Saliency Fusion[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2652-2660. doi: 10.11999/JEIT170162

Citation:

CHEN Hongchang, CHEN Lei, LI Shaomei, ZHU Junguang. Person Re-identification of Adaptive Blocks Based on Saliency Fusion[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2652-2660. doi: 10.11999/JEIT170162

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Person Re-identification of Adaptive Blocks Based on Saliency Fusion

doi: 10.11999/JEIT170162

Funds:

The National Natural Science Foundation of China (61379151, 61521003), Outstanding Youth Foundation of Henan Province (144100510001)

Received Date: 2017-02-24
Rev Recd Date: 2017-04-27
Publish Date: 2017-11-19

Abstract

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.
- Person re-identification,
- Block matching,
- Adaptive blocks,
- Heuristic clustering,
- Saliency fusion

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References(22)

References

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