Abstract
The challenge of segmenting the moving object is harder when the background is dynamic and the camera used can change its zoom dynamically. Here, in this paper, we propose a method to detect and segment moving object from a dynamic background, which contains moving multiple-leaf doors. In addition, the proposed algorithm also takes care of dynamic zoom changes that can occur while shooting a scene. The proposed method uses background-rebuilding with discrete door's position to tackle moving multiple-leaf door backgrounds and image feature comparison to tackle changes in zoom. The experiment results show satisfying segmentation results with high processing speed.
| Original language | English |
|---|---|
| Pages (from-to) | 169-175 |
| Number of pages | 7 |
| Journal | New Generation Computing |
| Volume | 28 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2010 |
| Externally published | Yes |
Keywords
- Moving people
- Segmentation
- Visual surveillance
- Zoomed dynamic scene
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