Deep learning in multiple animal tracking: A survey

Yeqiang Liu, Weiran Li, Xue Liu, Zhenbo Li, Jun Yue

Abstract: Highlights•A systematic review of deep learning-based multiple animal tracking is presented.•Tracking methods from different paradigms and components are discussed.•Current bottlenecks in applications and future research directions are pointed out.•Researchers working on computer vision will spend the lowest cost to understand.