Moving vehicles segmentation based on Gaussian motion model

Wei Zhang; Xiang Zhong Fang; Wei Yao Lin

doi:10.1117/12.631462

24 June 2005 Moving vehicles segmentation based on Gaussian motion model

Wei Zhang, Xiang Zhong Fang, Wei Yao Lin

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600G (2005) https://doi.org/10.1117/12.631462
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Moving objects segmentation is a challenge in computer vision. This paper focuses on the segmentation of moving vehicles in dynamic scene. We analyses the psychology of human vision and present a framework for segmenting moving vehicles in the highway. The proposed framework consists of two parts. Firstly, we propose an adaptive background update method in which the background is updated according to the change of illumination conditions and thus can adapt to the change of illumination sensitively. Secondly, we construct a Gaussian motion model to segment moving vehicles, in which the motion vectors of the moving pixels are modeled as a Gaussian model and an on-line EM algorithm is used to update the model. The Gaussian distribution of the adaptive model is elevated to determine which moving vectors result from moving vehicles and which from other moving objects such as waving trees. Finally, the pixels with motion vector result from the moving vehicles are segmented. Experimental results of several typical scenes show that the proposed model can detect the moving vehicles correctly and is immune from influence of the moving objects caused by the waving trees and the vibration of camera.

Citation Download Citation

Wei Zhang, Xiang Zhong Fang, and Wei Yao Lin "Moving vehicles segmentation based on Gaussian motion model", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600G (24 June 2005); https://doi.org/10.1117/12.631462

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