Title :
Video target tracking based on compress coding
Author :
Wu Zemin ; Zeng Mingyong ; Liu Xi ; Xu Renhui ; Jie Feiran
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
Video tracking needs keeping balance between robustness and efficiency. The compress coding space is taken as video target feature space because of its real time calculation ability and discriminative performance. Considering the calculating effectiveness, the modified compressing tracking algorithm adopts simple scale adaptation rules. Compared with original algorithm, the tracking performance is greatly improved, and the calculating speed is still kept real time.
Keywords :
video coding; compress coding space; modified compressing tracking algorithm; video target feature space; video target tracking; Computer vision; Conferences; Encoding; Pattern recognition; Robustness; Target tracking; Visualization; Appearance feature; Compressive coding; Video tracking;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
