mean shift tracking with kernel co-occurrence matrices
文献类型：会议论文
| 作者 | Chen Jianjun ; Zhang Suofei ; Wu Zhenyang ; An Guocheng |
| 出版日期 | 2009 |
| 会议名称 | 1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009 |
| 会议日期 | 40848 |
| 会议地点 | Shanghai, China |
| 关键词 | Algorithms Matrix algebra Microelectronics Pixels Targets Vector quantization |
| 页码 | 253-256 |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | IEEE Circuits and Systems Society |
| 会议录 | 1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009
 |
| 会议录出版地 | United States |
| 语种 | 英语 |
| ISBN号 | 9781424446698 |
| 源URL | [http://124.16.136.157/handle/311060/8442]  |
| 专题 | 软件研究所_软件所图书馆_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]. 见:1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009. Shanghai, China. 40848. |
入库方式： OAI收割
来源：软件研究所
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