mean shift tracking with kernel co-occurrence matrices

ISCAS OpenIR > 2009年期刊/会议论文

	mean shift tracking with kernel co-occurrence matrices
	Chen Jianjun; Zhang Suofei; Wu Zhenyang; An Guocheng
	2009
会议名称	1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009
会议录名称	1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009
页码	253-256
会议日期	40848
会议地点	Shanghai, China
收录类别	ei
出版地	United States
ISBN	9781424446698
部门归属	(1) School of Information Science and Engineering, Southeast University, Nanjing 210096, China; (2) Intelligence Engineering Lab., Institute of Software Chinese Academy of Sciences, Beijing 100190, China
摘要	We construct Kernel Co-occurrence Matrices (KCMs) to represent the target model and the target candidates. Then those matrices are employed as the tracking cues in mean shift framework. Some improvements are presented in the implementation of the algorithm. First, the angle relation between pixel-pairs is redefined to depict the asymmetric characteristic of the object. Second, the KCMs of the target model and the candidates are normalized to a same integer to increase calculation accuracy. Third, the computation of each pixel weight is modified to improve operation speed. The tracking results of several real world sequences with dark illumination or lighting variance show that the proposed algorithm can track the target effectively. ©2009 IEEE.
关键词	Algorithms Matrix Algebra Microelectronics Pixels Targets Vector Quantization
主办者	IEEE Circuits and Systems Society
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8442
专题	2009年期刊/会议论文
推荐引用方式 GB/T 7714	Chen Jianjun,Zhang Suofei,Wu Zhenyang,et al. mean shift tracking with kernel co-occurrence matrices[C]. United States,2009:253-256.