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19 January 2009Visual tracking method based on target feature dynamic extracting
1Harbin Engineering Univ. (China) 2Harbin Univ. of Science and Technology (China) 3Beijing Univ. of Posts and Telecommunications (China) 4Univ. of Science and Technology Beijing (China)
The main problem of now visual tracking algorithm is that the algorithm is lack of robustness, precision and speed. This
paper gives a visual tracking method based on dynamic object features extracting. First extract object features according
to the value of current frame image and build feature base. Then evaluate the recognition ability of every feature in
feature base using fisher criteria and select high-recognition features to generate object feature set. Dynamic adjust the
feature vectors of feature set according to the changes of environment object lie in. finally process visual tracking
adopting particle filter method using feature vectors of feature set. Experiments have proved that this method can
improve the tracking speed while assure tracking accuracy when lighting environment that moving objects lie in
changes.
Jie Su,Guisheng Yin, andYahui Liu
"Visual tracking method based on target feature dynamic extracting", Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520W (19 January 2009); https://doi.org/10.1117/12.805845
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Jie Su, Guisheng Yin, Yahui Liu, "Visual tracking method based on target feature dynamic extracting," Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520W (19 January 2009); https://doi.org/10.1117/12.805845