Title :
Short-term motion-based object segmentation
Author :
Arvanitidou, Marina Georgia ; Tok, Michael ; Krutz, Andreas ; Sikora, Thomas
Author_Institution :
Communication Systems Group, Technische Universität Berlin, Germany
Abstract :
Motion-based segmentation approaches employ either longterm motion information, which is computationally demanding, or suffer from lack of accuracy when employing short-term information. We present an automatic motion-based object segmentation algorithm for video sequences with moving camera, employing short-term motion information solely. For every frame, two error frames are generated using motion compensation. They are combined and a thresholding segmentation algorithm is applied. Recent advances in the field of global motion estimation enable outlier elimination in the background area, and thus a more precise definition of the foreground is achieved. We propose a simple and effective error frame generation and consider spatial error localization. Thus, we achieve improved performance compared with a previously proposed short-term motion-based method and provide subjective as well as objective evaluation.
Keywords :
camera motion estimation; object segmentation; thresholding;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona, Spain
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6011873