Model of motion perception based on biological vision principle

Hao Zhao; Zhengzhi Wang; Jiaomin Huang

doi:10.1117/12.747098

15 November 2007 Model of motion perception based on biological vision principle

Hao Zhao, Zhengzhi Wang, Jiaomin Huang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860X (2007) https://doi.org/10.1117/12.747098
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Hao Zhao, Zhengzhi Wang, and Jiaomin Huang "Model of motion perception based on biological vision principle", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860X (15 November 2007); https://doi.org/10.1117/12.747098

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