Paper
30 September 1996 Novel method for recognizing a moving object
Guoliang Huang, Guofan Jin, Minxian Wu, Yingbai Yan
Author Affiliations +
Abstract
A developed binary image processing to detect the convolution interlaced minimum for recognizing and tracing the moving target is proposed in this paper. A diffraction device, which can divide an incidence light into 33 by 33 arrays evenly is designed and fabricated. A dual channel optical real-time processor with two 33 by 33 diffraction devices is built for parallel performing the recognition and tracing of the moving object. Some measures for compensating scale and rotation distortion for moving recognition are provided. The experimental results show that: a) The moving object can be recognized and traced parallel by one step of operation. b) The scale and rotation distortion of the moving target recognition is insensible. The change of rotation angle to be allowed in moving target recognition is from -25 degrees to +25 degrees.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guoliang Huang, Guofan Jin, Minxian Wu, and Yingbai Yan "Novel method for recognizing a moving object", Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); https://doi.org/10.1117/12.253405
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Object recognition

Target recognition

Convolution

Diffraction

Distortion

Channel projecting optics

Back to Top