Visual tracking method based on target feature dynamic extracting

Jie Su; Guisheng Yin; Yahui Liu

doi:10.1117/12.805845

19 January 2009 Visual tracking method based on target feature dynamic extracting

Jie Su, Guisheng Yin, Yahui Liu

Proceedings Volume 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques; 72520W (2009) https://doi.org/10.1117/12.805845
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

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.

Citation Download Citation

Jie Su, Guisheng Yin, and 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

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KEYWORDS

Optical tracking

Detection and tracking algorithms

Target detection

Light sources and illumination

Fourier transforms

Particle filters

Particles

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