Title :
Moving object detection under moving camera by rank minimization
Author :
Sang-Woo Noh ; Tae-Hyun Oh ; In So Kweon
Author_Institution :
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
Abstract :
We propose a method for moving object detection under a moving camera by the rank minimization approach. Moving object detection under the moving camera system is a challenging problem. Recent approaches are based on complex cascade step approaches. By utilizing the rank minimization framework, alignment and moving object detection are performed simultaneously. We validate efficiency and robustness of the proposed method by showing qualitative evaluations.
Keywords :
image motion analysis; minimisation; object detection; video surveillance; complex cascade step approach; moving camera system; moving object detection; rank minimization approach; video surveillance; Cameras; Electronic mail; Minimization; Object detection; Robot vision systems; Robustness; homography; moving camera; moving object detection; rank minimization;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
DOI :
10.1109/URAI.2012.6463087