Image feature extraction method for person re-identification

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PATENT NO 11238274
APP PUB NO 20210150194A1
SERIAL NO

16622586

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Abstract

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An image feature extraction method for person re-identification includes performing person re-identification by means of aligned local descriptor extraction and graded global feature extraction; performing the aligned local descriptor extraction by processing an original image by affine transformation and performing a summation pooling operation on image block features of same regions to obtain an aligned local descriptor; reserving spatial information between inner blocks of the image for the aligned local descriptor; and performing the graded global feature extraction by grading a positioned pedestrian region block and solving a corresponding feature mean value to obtain a global feature. The method can resolve the problem of feature misalignment caused by posture changes of pedestrian, etc., and eliminate the effect of unrelated backgrounds on re-recognition, thus improving the precision and robustness of person re-identification.

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Patent OwnerAddress
PEKING UNIVERSITY100091 NO 5 YIHEYUAN ROAD HAIDIAN DISTRICT BEIJING BEIJING CITY BEIJING CITY 100091

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dong, Shengfu Shenzhen, CN 22 138
Gao, Wen Shenzhen, CN 329 3875
Li, Ge Shenzhen, CN 125 1180
Li, Ying Shenzhen, CN 869 31412
Wang, Ronggang Shenzhen, CN 78 337
Wang, Wenmin Shenzhen, CN 32 217
Wang, Zhenyu Shenzhen, CN 189 678
Zhang, Yihao Shenzhen, CN 20 153

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