Robust tracking-by-detection using a selection and completion mechanism

Abstract

It is challenging to track a target continuously in videos with long-term occlusion, or objects which leave then re-enter a scene. Existing tracking algorithms combined with onlinetrained object detectors perform unreliably in complex conditions, and can only provide discontinuous trajectories with jumps in position when the object is occluded. This paper… (More)
DOI: 10.1007/s41095-017-0083-7

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Cite this paper

@article{Fan2017RobustTU, title={Robust tracking-by-detection using a selection and completion mechanism}, author={Ruochen Fan and Fang-Lue Zhang and Min Zhang and Ralph R. Martin}, journal={Computational Visual Media}, year={2017}, volume={3}, pages={285-294} }