%0 Journal Article %A XU Tianyang %A WU Xiaojun %T Fast tracking algorithm based on Gabor transformation %D 2016 %R %J Computer Engineering and Applications %P 134-138 %V 52 %N 6 %X In order to enhance the speed and accuracy of object tracking, a fast tracking algorithm based on Gabor transformation is proposed. According to the good simulation capability of Gabor transformation to human visual receptive field, the proposed algorithm extracts features via multi-scale and multi-orientation Gabor filters, and then realizes tracking by utilizing image matching between target model and candidates. At the feature extracting stage, a multi-channel model is used to fuse Gabor features. And at the output stage, convolution property in spatial-frequency domain is exploited to realize fast posterior distribution computation. Experimental results indicate that the proposed algorithm has good properties in accuracy and speed, and outperforms state-of-the-art methods. %U http://cea.ceaj.org/EN/abstract/article_34274.shtml