| A binocular vision tracking method based on Gabor filter | |
| Jin, Wenjun; Luo J(罗均); Xu YY(徐元玉); Li L(李磊); Li HY(李恒宇); Xie SR(谢少荣) | |
| Department | 机器人学研究室 |
| Conference Name | 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 |
| Conference Date | April 21-23, 2012 |
| Conference Place | Three Gorges, China |
| Author of Source | IEEE |
| Source Publication | 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings |
| Publisher | IEEE Computer Society |
| Publication Place | Piscataway, USA |
| 2012 | |
| Pages | 8-12 |
| Indexed By | EI |
| EI Accession number | 20122415104146 |
| Contribution Rank | 2 |
| ISBN | 978-1-4577-1415-3 |
| Keyword | Binocular Vision Consumer Electronics Gabor Filters Image Matching Surface Discharges |
| Abstract | To solve the stability and rapidity problem of visual tracking, the paper presents a method that the characteristic points in sequenced images assemblies for target is collected by the Gabor filter, and turned into matching templates. The detection with the Sobel operator is used to get initial points position, to determine each initial point parameter, and in this way we can speed up optimizing for parameters. The experimental result has been verified that the arithmetic is with highly reliability and availability, it can avoid the affection by target feature collecting from background, so the method has the benefit to the real time binocular tracking. |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/10417 |
| Collection | 机器人学研究室 |
| Affiliation | 1.School of Mechatronic Engineering and Automation, Shanghai University, China 2.State Key Laboratory of Robotics, Chinese Academy of Sciences, China |
| Recommended Citation GB/T 7714 | Jin, Wenjun,Luo J,Xu YY,et al. A binocular vision tracking method based on Gabor filter[C]//IEEE. Piscataway, USA:IEEE Computer Society,2012:8-12. |
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