Deep learning in multiple animal tracking: A survey
Authors:
- Yeqiang LiuYLYeqiang Liu
- Weiran LiWLWeiran Li
- Xue LiuXLXue Liu
- Zhenbo LiZhenbo Li
- Jun YueJYJun Yue
Top Cited Papers
- 25 June 2024
- journal article
- review article
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 224
Abstract
No abstract availableKeywords
This publication has 70 references indexed in Scilit:
- Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and EmotionsInternational Journal of Computer Vision, 2022
- AnimalTrack: A Benchmark for Multi-Animal Tracking in the WildInternational Journal of Computer Vision, 2022
- MOTR: End-to-End Multiple-Object Tracking with Transformer2022
- Detection and tracking of chickens in low-light images using YOLO network and Kalman filterNeural Computing and Applications, 2022
- FairMOT: On the Fairness of Detection and Re-identification in Multiple Object TrackingInternational Journal of Computer Vision, 2021
- MOTChallenge: A Benchmark for Single-Camera Multiple Target TrackingInternational Journal of Computer Vision, 2020
- Towards Real-Time Multi-Object Tracking2020
- Tracking Objects as Points2020
- HOTA: A Higher Order Metric for Evaluating Multi-object TrackingInternational Journal of Computer Vision, 2020
- Support-vector networksMachine Learning, 1995