Visual tracking enhancement by trajectory simulation based on hidden semi‐Markov model. Issue 2 (1st January 2020)

• Record Type: Journal Article
• Authors: Ha, S.; Kwon, J.
• Is Part Of: Electronics letters. Volume 56:Issue 2(2020)
• Page Start: 85
• Page End: 87
• Publication Date: 2020-01-01
• Subjects: hidden Markov models -- object tracking -- target tracking -- image enhancement; simulated trajectories -- trajectory simulation -- traditional visual tracking methods -- visual tracking enhancement -- hidden semiMarkov model -- synthetic trajectories -- observed trajectories -- tracking system -- HSMM; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2019.2877
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : In this Letter, the authors present a novel tracking system, in which tracking accuracy can be enhanced by trajectory simulation. They generate synthetic trajectories based on observed trajectories by adopting the hidden semi‐Markov model (HSMM). In the course of trajectory simulation, HSMM can encode representative states and speeds of the targets. The simulated trajectories enforce the proposed tracker to focus on the areas where targets will move at following frames. Experimental results demonstrate that it is easy to integrate the proposed trajectory simulation into traditional visual tracking methods and the trajectory simulation can considerably improve the accuracy of visual trackers.