Title :
A modify target tracking algorithm based on anti-jamming CamShift in dynamic scene
Author :
Dongcheng, Shi ; Yinghuan, Li ; Chao, Liang ; Long, Zhu
Author_Institution :
Sch. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
According to the characteristics of targeted block and near-color background interference in dynamic scene, this paper describes an improved model of CamShift (Continuous Adaptative Mean-Shift) for object detection and tracking. This improve Cam-Shift technique is predominantly based on weakening the color histogram information about target and the Bhattacharyya coefficient of the reference target color histogram to achieve anti-jamming target tracking. The experimental results revealed that the proposed algorithm is able to track efficiently and has a strong anti-jamming capability.
Keywords :
object detection; target tracking; Bhattacharyya coefficient; anti-jamming CamShift; anti-jamming target tracking; continuous adaptative mean-shift; dynamic scene; near-color background interference; object detection; reference target color histogram; target tracking algorithm; targeted block characteristics; Algorithm design and analysis; Heuristic algorithms; Histograms; Image color analysis; Pixel; Signal processing algorithms; Target tracking; Bhattacharyya coefficient; Enhanced CamShift; Target tracking;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5645821
