TY - GEN
T1 - Complex Spatial-Temporal Attention Aggregation for Video Person Re-Identification
AU - Ding, Wenjie
AU - Wei, Xing
AU - Hong, Xiaopeng
AU - Gong, Yihong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Video-based person re-identification (Re-ID) aims to match pedestrian tracklets of the same identity captured by different cameras. Existing works usually compute the video-level feature representation via simple frame-level feature aggregation, such as average pooling and max pooling. However, the performance of such methods degenerates severely under low signal-noise ratio and partial occlusions. In this paper, we propose a novel Complex Spatial-Temporal Attention Aggregation (CAA), which fully exploits the discriminative information in spatial-temporal dimension via the combination of two aggregation method, namely region-aware aggregation and region-regardless aggregation. We evaluate the proposed method in three widely used video Re-ID datasets, including MARS, iLIDS-VID, and PRID-2011. The experimental results demonstrate that the proposed method outperforms the state of the arts.
AB - Video-based person re-identification (Re-ID) aims to match pedestrian tracklets of the same identity captured by different cameras. Existing works usually compute the video-level feature representation via simple frame-level feature aggregation, such as average pooling and max pooling. However, the performance of such methods degenerates severely under low signal-noise ratio and partial occlusions. In this paper, we propose a novel Complex Spatial-Temporal Attention Aggregation (CAA), which fully exploits the discriminative information in spatial-temporal dimension via the combination of two aggregation method, namely region-aware aggregation and region-regardless aggregation. We evaluate the proposed method in three widely used video Re-ID datasets, including MARS, iLIDS-VID, and PRID-2011. The experimental results demonstrate that the proposed method outperforms the state of the arts.
KW - Video-based Re-ID
KW - aggregation
KW - spatial-temporal attention
UR - https://www.scopus.com/pages/publications/85089241155
U2 - 10.1109/ICIP40778.2020.9191166
DO - 10.1109/ICIP40778.2020.9191166
M3 - 会议稿件
AN - SCOPUS:85089241155
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2441
EP - 2445
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -