그림

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