DocumentCode
3356078
Title
Moving object detection under free-moving camera
Author
Kim, Jiman ; Ye, Guensu ; Kim, Daijin
Author_Institution
Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
4669
Lastpage
4672
Abstract
The detection of moving objects in complex environments with various types of motion is a difficult problem because the camera motion and the object motion are mixed. This paper proposes a moving object detection algorithm that uses motion clustering and classification from only two consecutive image frames captured by a free-moving camera. The proposed moving object detection has no assumption about the camera motion and the environmental conditions. The experimental results show that the proposed moving object detection is accurate within an accuracy of 7 pixels on the average.
Keywords
cameras; image classification; object detection; pattern clustering; camera motion; complex environments; free-moving camera; motion classification; motion clustering; moving object detection; object motion; Cameras; Clustering algorithms; Data models; Eigenvalues and eigenfunctions; Object detection; Optical scattering; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652848
Filename
5652848
Link To Document