| 题名: | A binocular vision tracking method based on Gabor filter |
| 作者: | 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)
|
| 作者部门: | 机器人学研究室
|
| 会议名称: | 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012
|
| 会议日期: | April 21-23, 2012
|
| 会议地点: | Three Gorges, China
|
| 会议主办者: | IEEE
|
| 会议录: | 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings
|
| 会议录出版者: | IEEE Computer Society
|
| 会议录出版地: | Piscataway, USA
|
| 出版日期: | 2012
|
| 页码: | 8-12
|
| 收录类别: | EI
|
| ISBN号: | 978-1-4577-1415-3
|
| 关键词: | Binocular vision
; Consumer electronics
; Gabor filters
; Image matching
; Surface discharges
|
| 摘要: | 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. |
| 语种: | 英语
|
| 产权排序: | 2
|
| EI收录号: | 20122415104146
|
| 内容类型: | 会议论文
|
| URI标识: | http://ir.sia.cn/handle/173321/10417
|
| Appears in Collections: | 机器人学研究室_会议论文
|
| File Name/ File Size |
Content Type |
Version |
Access |
License |
|
|---|
| A binocular vision tracking method based on Gabor filter.pdf（434KB） | -- | -- | 开放获取 | | View
Download
|
|
| Recommended Citation: | |
Jin, Wenjun,Luo J,Xu YY,et al. A binocular vision tracking method based on Gabor filter[C]. 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012. Three Gorges, China. April 21-23, 2012.A binocular vision tracking method based on Gabor filter.
|
|
|
