Share Email Print
cover

Proceedings Paper

Model of motion perception based on biological vision principle
Author(s): Hao Zhao; Zhengzhi Wang; Jiaomin Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

According to the principles of biological vision, the paper proposed a model of motion perception based on Grossberg's Formotion (form-motion) BCS model for detecting moving targets and their directions in a set of image sequence. It is a parallel processing system including static flow and motion flow while the Formotion model is a serial processing from static flow to motion flow. Additionally, the model here carried out developments at several stages to make it available in complex real scenes. It imported multipoint inhibition in transient cell network, made use of Gaussian kernel inhibition of the opposite direction and designed a new cell membrane equation to obtain clear motion boundaries along the motion directions. The simulations indicate that it can detect moving objects in real scenes fast and distribute their boundaries to the corresponding motion directions exactly. It is successful to make analysis of motion image sequence by this model.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860X (15 November 2007); doi: 10.1117/12.747098
Show Author Affiliations
Hao Zhao, National Univ. of Defense Technology (China)
Zhengzhi Wang, National Univ. of Defense Technology (China)
Jiaomin Huang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top