A study of moving object extraction system using spatio temporal network

摘要

In this paper, we propose a new method to extract moving objects by focusing attention on continuity of moving objects in a spatio-temporal domain. The purpose of this method is to he solved the following three problems that are difficult to solve by conventional methods in moving object extraction. (1) Extracting an object with consistency in a unity of movement without the object models. (2) Being practical computational complexity. (3) Detecting occlusion caused by overlap of moving objects, and tracking them robustly. This method at first extracts the isochromatic lines information that is adapting itself to an input image by updating the model of bin clustering dynamically while accumulating histogram feature. Then it extracts and tracks moving objects by integrating regions divided by isochromatic lines on the basis of moving vectors