Zebrafishtracker: A multi-zebrafish tracking algorithm can effectively solve cross occlusion

Fu, Zhenhua; Wang, Yiwen; Zhao, Xin; Sun, Mingzhu

doi:10.1109/robio54168.2021.9739241

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Gupta et al [23] proposed deep fish tracking network (DFTNet) that incorporates Siamese network and attention long short-term memory network. Fu et al [76] utilized the instance segmentation and the skeleton stability analysis strategy to solve the problem of detection error caused by the frequent crossover of multiple zebrafish. Wang et al [63] proposed a parallel fish school tracking based on multiple-feature fish detection to obtain accurate movement trajectories of a large number of zebrafish.…”

Section: Zebrafish Trackingmentioning

confidence: 99%

See 1 more Smart Citation

3D zebrafish tracking with topology association

Jin

Zhang

et al. 2022

IET Image Processing

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Recently, zebrafish has received more and more attention due to its wide range of applications such as regeneration promoting therapeutics and drug discovery. Therefore, vision‐based trackers are utilized to record the swimming trajectory of zebrafish. In this paper, a re‐association method is introduced in the 3D reconstruction process to generate missed targets caused by occlusion. Since the variation of the overall tracking targets has the property of continuity and stability, a topology association model (TAM) is proposed by point group similarity into the tracking framework. TAM describes the movement of zebrafish from the macroscopic level and utilizes the changes of the point group structure for tracking. Experimental results show that the tracking framework enhances the overall performance and promotes the trajectory integrity. On the latest 3D‐ZeF20 benchmark, state‐of‐the‐art results are achieved. In addition, TAM tracking framework is applied to 2D general tracking to prove that the method is useful and have great advantage in other scenarios with relatively stable amount of targets as well.

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Section: Zebrafish Trackingmentioning

confidence: 99%

“…Fu et al. [76] utilized the instance segmentation and the skeleton stability analysis strategy to solve the problem of detection error caused by the frequent crossover of multiple zebrafish. Wang et al.…”

Section: Related Workmentioning

confidence: 99%