Visual tracking with multiple trackers
Prof. Jae-Young Sim has co-authored “Multihypothesis trajectory analysis for robust visual tracking”, presented in the IEEE International Conference on Computer Vision and Pattern Recognition.
This paper proposed a robust visual tracking algorithm which analyzes multihypothesis trajectories by employing multiple trackers with different features to overcome the interferences of occlusions, non-discriminative features, and illumination changes.
For more information, please refer to the publication details:
Authors: Dae-Youn Lee, Jae-Young Sim, and Chang-Su Kim
Title: Multihypothesis trajectory analysis for robust visual tracking
Conference: IEEE International Conference on Computer Vision and Pattern Recognition
Publication date: June 2015