Vison-Based Traffic Flow Prediction Using Dynamic Texture Model and Gaussian Process

Abstract

In this paper, a work in progress towards a real-time vision-based traffic flow prediction (TFP) system is resented. The proposed method consists of three elemental operators, that are dynamic texture model based motion segmentation, feature extraction and Gaussian process (GP) regression. The objective of motion segmentation is to recognize the target… (More)

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