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mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
[article]
2022
arXiv
pre-print
Multi-object tracking (MOT) is a challenging task that involves detecting objects in the scene and tracking them across a sequence of frames. Evaluating this task is difficult due to temporal occlusions, and varying trajectories across a sequence of images. The main evaluation metric to benchmark MOT methods on datasets such as KITTI has recently become the higher order tracking accuracy (HOTA) metric, which is capable of providing a better description of the performance over metrics such as
arXiv:2206.09372v1
fatcat:mxijrzevv5bf7clnoyxk5ysc5i