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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhao Hui Sun Xiangju Meng Caihong |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Computer Science, Langfang Radio and Television University, China (Zhao Hui) || Information and Communication Center, Gansu Electronic Power Corporation, Lanzhou, China (Sun Xiangju) || SDIC Gansu Xiaosanxia Power Co., Ltd. Lanzhou, China (Meng Caihong) |
| 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. |
| Starting Page | 199 |
| Ending Page | 203 |
| File Size | 3933275 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612848792 |
| e-ISBN | 9781612848815 |
| DOI | 10.1109/IASP.2011.6109029 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Image motion analysis Image segmentation kirsch operator Image edge detection morphologic operation Video sequences Object detection moving object detection Optical imaging t-test |
| Content Type | Text |
| Resource Type | Article |
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