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| mean shift tracking with kernel co-occurrence matrices | |
| Chen Jianjun; Zhang Suofei; Wu Zhenyang; An Guocheng | |
| 2009 | |
| Conference Name | 1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009 |
| Source | 1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009 |
| Pages | 253-256 |
| Conference Date | 40848 |
| Conference Place | Shanghai, China |
| Indexed Type | ei |
| Publish Place | United States |
| ISBN | 9781424446698 |
| 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 Abstract | 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. |
| Keyword | Algorithms Matrix Algebra Microelectronics Pixels Targets Vector Quantization |
| Sponsorship | IEEE Circuits and Systems Society |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8442 |
| Collection | 2009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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