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Tracking the Untrackable

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Document pages: 10 pages

Abstract: Although short-term fully occlusion happens rare in visual object tracking,most trackers will fail under these circumstances. However, humans can stillcatch up the target by anticipating the trajectory of the target even thetarget is invisible. Recent psychology also has shown that humans build themental image of the future. Inspired by that, we present a HAllucinatingFeatures to Track (HAFT) model that enables to forecast the visual featureembedding of future frames. The anticipated future frames focus on the movementof the target while hallucinating the occluded part of the target. Jointlytracking on the hallucinated features and the real features improves therobustness of the tracker even when the target is highly occluded. Throughextensive experimental evaluations, we achieve promising results on multipledatasets: OTB100, VOT2018, LaSOT, TrackingNet, and UAV123.

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