A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking of Vehicles

Duong Nguyen-Ngoc Tran, Long Hoang Pham, Hyung-Joon Jeon, Huy-Hung Nguyen, Hyung-Min Jeon, Tai Huu-Phuong Tran, Jae Wook Jeon

CVPRW 2022 pp. 3149-3158

doi:10.1109/CVPRW56347.2022.00355 /cvprw/2022/tran2022cvprw-robust/

Abstract

Multi-Target Multi-Camera Tracking (MTMC) has an immense domain of Intelligent Traffic Surveillance System applications. Multifarious tasks manage to apply MTMC trackings, such as crowd analysis and city-scale traffic management. This paper describes our framework using spatial constraints for the Task of the Track 1 multi-camera vehicle tracking in the 2022 AI City Challenge. The framework includes single-camera detection and tracking, vehicle re-identification, and multi-camera track matching. To improve the system’s accuracy, we proposed Region-Aware for the precision of vehicle detection and tracking, leading to the effective service of vehicle re-identification models to extract targets and appearance features. We use Crossing-Aware for a tracker to utilize the rich feature to find the tracklets and operate trajectory matching for multi-camera tracklets connection. Finally, the Inter-Camera Matching generated the global IDs for vehicle trajectory. Our method acquired an IDF1 score of 0.8129 on the AI City 2022 Challenge Track 1 public leaderboard.

CVPRW Semantic Scholar

Cite

Text

Tran et al. "A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking of Vehicles." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00355

Markdown

[Tran et al. "A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking of Vehicles." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/tran2022cvprw-robust/) doi:10.1109/CVPRW56347.2022.00355

BibTeX

@inproceedings{tran2022cvprw-robust,
  title     = {{A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking of Vehicles}},
  author    = {Tran, Duong Nguyen-Ngoc and Pham, Long Hoang and Jeon, Hyung-Joon and Nguyen, Huy-Hung and Jeon, Hyung-Min and Tran, Tai Huu-Phuong and Jeon, Jae Wook},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2022},
  pages     = {3149-3158},
  doi       = {10.1109/CVPRW56347.2022.00355},
  url       = {https://mlanthology.org/cvprw/2022/tran2022cvprw-robust/}
}