【MOT】《Multiple Object Tracking in Recent Times: A Literature Review》

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文章数量:1630550

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/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

本文标签： objectMultipleMOTTrackingreview