Title :
Moving object detection based on T-test combined with kirsch operator
Author :
Hui, Zhao ; Xiangju, Sun ; Caihong, Meng
Author_Institution :
Dept. of Comput. Sci., Langfang Radio & Telev. Univ., Langfang, China
Abstract :
Moving object detection is a hot topic in computer vision. It is widely used in many areas, such as video monitoring, and intelligent traffic. This paper proposes a new method, which combines the T-test with the kirsch operator. First, the T-test method can detect the moving area between two frames of the video sequences while the kirsch operator can detect the contour of the objects. Second, the moving information fuses the contour information, so the experimental results can obtain both the moving information and the contour information. The morphologic operation is used to get the accurate information of the moving object. Finally, the moving objects are labeled in the video sequences. Experimental results prove that the proposed method is effective and robust.
Keywords :
image fusion; image motion analysis; image sequences; object detection; statistical analysis; video signal processing; computer vision; contour information; information fusion; kirsch operator; morphologic operation; moving information; moving object detection; t-test; video sequence; Computer vision; Image edge detection; Image motion analysis; Image segmentation; Object detection; Optical imaging; Video sequences; kirsch operator; morphologic operation; moving object detection; t-test;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6109029