Title :
A robust background subtraction approach with a moving camera
Author :
Xiaochun Zou ; Xinbo Zhao ; Zheru Chi
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
In this paper, an algorithm for extracting moving objects from a moving background scene that contains complex camera motion is proposed. The robust and efficiently background subtraction algorithm that is able to cope with local scene changes, such as audiences and trees, as well as globe scene changes caused by camera motion. The algorithm is based on a proposed background subtraction method and comprises three steps: the feature-based camera motion estimation, panorama reconstruction and background subtraction. The background subtraction in our method, which introduces risk maps to account for the problem that the background image may not be perfectly aligned to the input images, greatly improves the foreground separation even on the object boundary. We have applied this method to standard image sequences. Experimental results show the proposed method can be successfully provided with the background subtraction capability.
Keywords :
cameras; feature extraction; image reconstruction; image sequences; motion estimation; complex camera motion; feature-based camera motion estimation; foreground separation; globe scene change; image sequences; local scene change; moving background scene; moving camera; moving object extraction; object boundary; panorama reconstruction; risk maps; robust background subtraction approach; Background Subtraction; Motion Estimation; Panorama Reconstruction;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6