3 accepted papers
Object trackers are typically ranked by the average of averages, that is, a performance measure averaged over all frames of a video and then averaged over the entire dataset. The average is not a robust estimator. We propose to rank trackers based on robust error norms: we divide the performances of…
Accurate object tracking is a challenging problem due to numerous factors, that may cause the tracker to drift away from the target object. Typically, the output of a tracker is a bounding box (BB); such BB may not well discriminate the object from its background and may not be centered correctly ar…
Fusion of multi-channel representations has played a crucial role in the success of correlation filter (CF) based trackers. But, all channels do not contain useful information for target localization at every frame. During challenging scenarios, ambiguous responses of non-discriminative or unreliabl…