Title :
Global motion compensation for image sequences and motion object detection
Author :
Shun, Zhang ; Xiuqin, Su ; Liyin, Xie
Author_Institution :
Key Lab. of Ultrafast Photoelectric Diagnostics Technol., Chinese Acad. of Sci., Xi´´an, China
Abstract :
A effective approach to global motion compensation and moving object extraction is proposed. Firstly, feature-block detection and search-matching algorithm are used to attain background motion vectors of global image. Then, once the global motion vectors are robustly estimated, relatively stationary background can be almost completely eliminated through the registration difference algorithm. Finally, higher-order statistics is used to attain the motion target exactly. The experimental results validate that the proposed algorithm improves the performance of detection moving targets and effectively restrains the noise disturbance.
Keywords :
feature extraction; higher order statistics; image matching; image sequences; motion compensation; noise; object detection; feature-block detection; global motion compensation; global motion vector; higher-order statistics; image sequences; motion object detection; moving object extraction; noise disturbance; registration difference algorithm; search-matching algorithm; Computers; background compensation (BC); feature-block matching; higher-order statistics (HOS); object detection;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620430
