Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
- معلومة اضافية
- Publisher Information:
2022-03-08
- Added Details:
Li, Jiaxin
Ding, Yan
Wei, Hualiang
- نبذة مختصرة :
Joint detection and embedding (JDE) based methods usually estimate bounding boxes and embedding features of objects with a single network in Multi-Object Tracking (MOT). In the tracking stage, JDE-based methods fuse the target motion information and appearance information by applying the same rule, which could fail when the target is briefly lost or blocked. To overcome this problem, we propose a new association matrix, the Embedding and Giou matrix, which combines embedding cosine distance and Giou distance of objects. To further improve the performance of data association, we develop a simple, effective tracker named SimpleTrack, which designs a bottom-up fusion method for Re-identity and proposes a new tracking strategy based on our EG matrix. The experimental results indicate that SimpleTrack has powerful data association capability, e.g., 61.6 HOTA and 76.3 IDF1 on MOT17. In addition, we apply the EG matrix to 5 different state-of-the-art JDE-based methods and achieve significant improvements in IDF1, HOTA and IDsw metrics, and increase the tracking speed of these methods by about 20%.
- الموضوع:
- Other Numbers:
COO oai:arXiv.org:2203.03985
1333755355
- Contributing Source:
CORNELL UNIV
From OAIster®, provided by the OCLC Cooperative.
- الرقم المعرف:
edsoai.on1333755355
HoldingsOnline
No Comments.