TY - GEN
T1 - MASK GUIDED SPATIAL-TEMPORAL FUSION NETWORK FOR MULTIPLE OBJECT TRACKING
AU - Zhao, Shuangye
AU - Wu, Yubin
AU - Wang, Shuai
AU - Ke, Wei
AU - Sheng, Hao
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Multi-object trackers make the association almost perfectly when no occlusion occurred between two or more targets. However, it is hard to extract reliable features on account of partial occlusion caused by a nearby object, which often leads to tracking failure. In this paper, we utilize mask to guide attention of the neural network in order to focus on the visible part of the target and design a tracklet-level feature extraction method. Then, a tracking framework is proposed based on a mask guided fusion network and multi-hypothesis tracking algorithm. Comprehensive evaluation on the MOT17 dataset shows that our approach achieves competitive results.
AB - Multi-object trackers make the association almost perfectly when no occlusion occurred between two or more targets. However, it is hard to extract reliable features on account of partial occlusion caused by a nearby object, which often leads to tracking failure. In this paper, we utilize mask to guide attention of the neural network in order to focus on the visible part of the target and design a tracklet-level feature extraction method. Then, a tracking framework is proposed based on a mask guided fusion network and multi-hypothesis tracking algorithm. Comprehensive evaluation on the MOT17 dataset shows that our approach achieves competitive results.
KW - Multi-object tracking
KW - feature extraction
KW - mask guided network
KW - multiple hypothesis tracking
KW - tracking by detection
UR - http://www.scopus.com/inward/record.url?scp=85146729668&partnerID=8YFLogxK
U2 - 10.1109/ICIP46576.2022.9898054
DO - 10.1109/ICIP46576.2022.9898054
M3 - Conference contribution
AN - SCOPUS:85146729668
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3231
EP - 3235
BT - 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings
PB - IEEE Computer Society
T2 - 29th IEEE International Conference on Image Processing, ICIP 2022
Y2 - 16 October 2022 through 19 October 2022
ER -