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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alsaqre, F.E. Yuan Baozong |
| Copyright Year | 2003 |
| Description | Author affiliation: Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China (Alsaqre, F.E.; Yuan Baozong) |
| Abstract | Video surveillance and conferencing systems have an impressive spread both for their practical application and interest as research issue. The common approach used in such systems consists of a good segmentation of moving objects. This paper presents an algorithm for segmenting and extracting moving objects suitable for surveillance and video conferencing applications, where a still background frame can be captured beforehand. Since edge detection is often used to extract accurate boundaries of the objects in the scene, the first step in our algorithm is accomplished by combining two kinds of edge points which are detected from the frame difference and the background subtraction. After removing edge points that belong to the background frame, the resulting moving edge map is fed to the object extracting step. A fundamental task in this step is to declare the candidates of the moving object, followed by applying morphological closing and opening operations. The algorithm is implemented on real video sequences and good segmentation performance is achieved. |
| Sponsorship | China Inst. Commun. (CIC) Chinese Inst. Electron. (CIE) |
| Starting Page | 1856 |
| Ending Page | 1859 |
| File Size | 447449 |
| Page Count | 4 |
| File Format | |
| ISBN | 7563506861 |
| DOI | 10.1109/ICCT.2003.1209889 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | China Institute of Communications(CIC) |
| Subject Keyword | Object segmentation Video surveillance Image edge detection Object detection Image segmentation Video sequences Shape Change detection algorithms Computerized monitoring Videoconference |
| Content Type | Text |
| Resource Type | Article |
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