Li Jing, Yepeng Guan. Pedestrian Re-Identification Based on Adaptive Weight Assignment using Deep Learning for Pedestrian Attributes[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141003
- Laser & Optoelectronics Progress
- Vol. 56, Issue 14, 141003 (2019)
Fig. 1. Pedestrian re-identification network framework with deep learning adaptive weight distribution
Fig. 2. Comparison of weights and weightless training losses during training phase
Fig. 3. Pedestrian re-identification accuracy on validation set of Market-1501 when scale factor parameter α changes
Fig. 4. Learning difficulties of different pedestrian attributes in Market-1501[26] data set
Fig. 5. Contribution rate distribution of pedestrian attributes in Market-1501[26] data set
Fig. 6. Comparison of pedestrian attribute recognition results based on Market1501
Fig. 7. Comparison of pedestrian attribute recognition results based on DukeMTMC-reID[26]
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Table 1. Comparison of pedestrian attribute recognition accuracy in different data sets%
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Table 2. Comparison of pedestrian attribute re-identification accuracy in different data sets%
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