An Object Tracking Method Combined Spatio-temporal Context Learning with Color Features

Bo XU, Yu-lan WANG, Zhen-hai WANG

Abstract


The correlation filtering tracking approaches have attracted much attention because of its high-speed and robustness. For further improving the efficiency and robustness in tracking. We propose the usage of color features to construct the object appearance in the STC tracker. The combined feature of gray and color features can be computed efficiently and possess high discriminative power. Experiment results on two video sequences demonstrate that the spatio-temporal context tracker with color features can obtain superior performance in real-world tracking.

Keywords


Object tracking, Spatio-temporal context learning, Color feature.


DOI
10.12783/dtcse/smce2017/12439

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