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
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;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652848