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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Ge-Heng Li Ya-Jing |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China (Chen Ge-Heng; Li Ya-Jing) |
| Abstract | Moving target segmentation which is an important research subject in many fields, such as artificial intelligence, industrial monitoring and human-computer interaction, the research of moving target segmentation algorithm in video sequence has vital academic significance and practical value. This paper introduced Markov Random Field theory into image sequence target segmentation process which is based on initial segmentation in static scene. In the paper, we constructed Adaptive Markov Random Field algorithm combining with adaptive Otsu method, namely the AMRF model. And also extracted the inter-frame difference mask by this model and inter-frame difference method. Experimental results show that the algorithm is effective and the moving target segmentation effect by this model is desirable. |
| Starting Page | 221 |
| Ending Page | 224 |
| File Size | 519211 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769550503 |
| DOI | 10.1109/ICIG.2013.50 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | MRF Image segmentation Adaptation models Computational modeling frame difference Educational institutions segmentation Probability distribution Mathematical model Markov random fields target |
| Content Type | Text |
| Resource Type | Article |
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