Through the unified graph-based constraint embedding framework, the discriminative model is enhanced with the help of the object appearance. The effectiveness ...

Recently discriminative based appearance model has achieved great success in modeling the object. It consid- ers the tracking as the binary classification ...

Through the unified graph-based constraint embedding framework, the discriminative model is enhanced with the help of the object appearance. The effectiveness ...

Bibliographic details on Robust object tracking with boosted discriminative model via graph embedding.

Li, Wei,Zhang, Xiaoqin,Luo, Wenhan,et al. Robust object tracking with boosted discriminative model via graph embedding[C],2011:1666-1672. 条目包含的文件 ...

A graph embedding based discriminative learning method, in which the topology structures of graphs are carefully designed to reflect the properties of the ...

Usage Metrics of. Robust object tracking with boosted discriminative model via graph embedding. Author(s): Li, Wei ; Zhang, Xiaoqin ; Luo, Wenhan ; Hu ...

Robust object tracking with boosted discriminative model via graph embedding ... Graph Based Discriminative Learning for Robust and Efficient Object Tracking.

Robust object tracking with boosted discriminative model via graph embedding. In ICCV Workshops,. 2011. [15] X. Li, A. Dick, H. Wang, C. Shen, and A. van den ...

"VisEvent: Reliable Object Tracking via ... "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking.