原文
- Bashar M, Islam S, Hussain K K, et al. Multiple object tracking in recent times: A literature review[J]. arXiv preprint arXiv:2209.04796, 2022.
- https://arxiv.org/pdf/2209.04796
参考文章
- 多目标跟踪最新综述（基于Transformer/图模型/检测和关联/孪生网络）
文章目录
- 1 MOT MAIN CHALLENGES
- 2 MOT APPROACHES
- 3 MOT BENCHMARKS
- 4 MOT METRICS
- 5 APPLICATIONS
- 6 FUTURE DIRECTIONS
1 MOT MAIN CHALLENGES
（1）Occlusion
（2）Challenges for Lightweight Architecture
（3）Some Common Challenges
- inaccurate object detection
- motion blurring
- ID Switching
2 MOT APPROACHES
（1）Transformer
transformer专门处理序列信息，所以transformer可以完美地完成逐帧处理
Meinhardt T, Kirillov A, Leal-Taixe L, et al. Trackformer: Multi-object tracking with transformers[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022: 8844-8854.
（2）Graph Model
从连续帧中检测到的一组目标被视为一个节点，两个节点之间的链接被视为一个边缘。通常情况下，数据关联是通过应用匈牙利算法来完成的
Dai P, Weng R, Choi W, et al. Learning a proposal classifier for multiple object tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 2443-2452.
（3）Detection and Target Association
（4）Attention Module
Wan J X, Zhang H, Zhang J, et al. Dsrrtracker: Dynamic search region refinement for attention-based siamese multi-object tracking[J]. arXiv preprint arXiv:2203.10729, 2022.
（5）Motion Model
（6）Siamese Network
Xing D, Evangeliou N, Tsoukalas A, et al. Siamese transformer pyramid networks for real-time UAV tracking[C]//Proceedings of the IEEE/CVF winter conference on applications of computer vision. 2022: 2139-2148.
（7）Tracklet Association
Yu E, Li Z, Han S. Towards discriminative representation: Multi-view trajectory contrastive learning for online multi-object tracking[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022: 8834-8843.
3 MOT BENCHMARKS
4 MOT METRICS
（1）MOTP
Multiple Object Tracking Precision
（2）MOTA
Multiple Object Tracking Accuracy
（3）IDF1
The Identification Metric
precision、recall、F1
（4）Track-mAP
（5）HOTA
Higher Order Tracking Accuracy
（6）LocA
Localization Accuracy
（7）AssA: Association Accuracy Score
（8） DetA: Detection Accuracy
（9） DetRe: Detection Recall
（10）DetPr: Detection Precision
（11） AssRe: Association Recall
（12） AssPr: Association Precision
（13） MOTSA: Multi Object Tracking and Segmentation Accuracy
（14）AMOTA: Average Multiple Object Tracking Precision
5 APPLICATIONS
（1）Autonomous Driving
（2）Pedestrian Tracking
（3）Vehicle Surveillance
（4） Sports Player Tracking
（5）Wild Life Tracking
6 FUTURE DIRECTIONS
（1）Multiple object tracking under multiple cameras
（2）Class-based tracking system can be integrated with multiple object tracking.
针对性
（3）3D tracking
（4） transformer can be used more specifically in solving different MOT tasks
（5）lightweight architecture
（6）real-time tracking
（7） Quantum computing can be used in MOT as well
