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
Conference Name1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009
Source1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009
Pages253-256
Conference Date40848
Conference PlaceShanghai, China
Indexed Typeei
Publish PlaceUnited States
ISBN9781424446698
Department(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
English AbstractWe 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.
KeywordAlgorithms Matrix Algebra Microelectronics Pixels Targets Vector Quantization
SponsorshipIEEE Circuits and Systems Society
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8442
Collection2009年期刊/会议论文
Recommended Citation
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.
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