Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
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- Pages.3053-3055
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- 2000
Detecton of OPtical Flow Using Cellular Nonlinear Neural Networks
셀룰라 비선형 회로 구조를 이용한 optical flow 검출
- Son, Hong-Rak (Mechatronics Research Center, Chonbuk National Univ.) ;
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Kim, Hyong-Suk
(School of Electronics and Information, Chonbuk National Univ.)
- Published : 2000.07.17
Abstract
The Cellular Nonlinear Networks structure for Distance Transform (DT) and the robust optical flow detection algorithm based on the DT are proposed. The proposed algorithm is for detecting the optical flows on the trajectories only of the feature points. The translation lengths and the directions of feature movements are detected on the trajectories of feature points on which Distance Transform Field is developed. The robustness caused from the use of the Distance Transform and the easiness of hardware implementation with local analog circuits are the properties of the proposed structure, To verify the performance of the proposed structure and the algorithm, simulation has been done about zooming image.
Keywords