Search Results for author: Yong-Gong Ren

Found 3 papers, 0 papers with code

Marrying Tracking with ELM: A Metric Constraint Guided Multiple Feature Fusion Method

no code implementations30 Sep 2018 Jing Zhang, Yong-Gong Ren

In this paper, we solve the problem from multi-view perspective by leveraging multi-view complementary and latent information, so as to be robust to the partial occlusion and background clutter especially when the objects are similar to the target, meanwhile addressing tracking drift.

Object Tracking

Robust Tracking via Weighted Online Extreme Learning Machine

no code implementations26 Jul 2018 Jing Zhang, Huibing Wang, Yong-Gong Ren

Therefore, our tracking method can fully learn both of the target object and background information to enhance the tracking performance, and it is evaluated in 20 challenge image sequences with different attributes including illumination, occlusion, deformation, etc., which achieves better performance than several state-of-the-art methods in terms of effectiveness and robustness.

Classification General Classification +2

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