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题名:
Multimode image tracking machine based on multi-processor
作者: Jiang, Ping1,2,4; Lei, Tao3,4; Zhou, Jin4; Wu, Qinzhang4
刊名: Journal of Convergence Information Technology
出版日期: 2012
卷号: 7, 期号:12, 页码:291-299
学科分类: Image processing - Multiprocessing systems
DOI: 10.4156/jcit.vol7.issue12.33
通讯作者: Jiang, P. (jpntl@vip.sina.com)
文章类型: 期刊论文
中文摘要: The single-mode algorithm cannot track the target stably because the characteristics of environment and targets are changing from time to time. As large field, high-resolution sensors are used, the realtime performance of the photoelectric measurement and tracking system is getting more and more important. So a multi-processor and multimode image tracking machine connected through Serial RapidIO(SRIO) was put forward. The target detecting in a single frame was realized by FPGAS and the target association and tracking were realized by DSPS. Based on the multimode image detecting and tracking technology, the main and assistant mode tracking technology and the contrast multi-feature association technology, the system can detect and track multi-target in real-time automatically. The experimental results indicate that the system could be suit for various environment and various targets which have different characteristics.
英文摘要: The single-mode algorithm cannot track the target stably because the characteristics of environment and targets are changing from time to time. As large field, high-resolution sensors are used, the realtime performance of the photoelectric measurement and tracking system is getting more and more important. So a multi-processor and multimode image tracking machine connected through Serial RapidIO(SRIO) was put forward. The target detecting in a single frame was realized by FPGAS and the target association and tracking were realized by DSPS. Based on the multimode image detecting and tracking technology, the main and assistant mode tracking technology and the contrast multi-feature association technology, the system can detect and track multi-target in real-time automatically. The experimental results indicate that the system could be suit for various environment and various targets which have different characteristics.
收录类别: Ei
语种: 英语
ISSN号: 19759320
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/4404
Appears in Collections:光电探测技术研究室(三室)_期刊论文

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作者单位: 1. College of Computer Science, Sichuan University, Chengdu 610065, China
2. State Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China
3. Graduate University of Chinese Academy of Sciences, Beijing 100039, China
4. Institute of Optics and Electronics, Chinese Academy of Science, Chengdu 610209, China

Recommended Citation:
Jiang, Ping,Lei, Tao,Zhou, Jin,et al. Multimode image tracking machine based on multi-processor[J]. Journal of Convergence Information Technology,2012,7(12):291-299.
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