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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1555
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Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Panda, D K | - |
| contributor.author | Meher, S | - |
| date.accessioned | 2011-11-17T06:30:15Z | - |
| date.available | 2011-11-17T06:30:15Z | - |
| date.issued | 2011-11 | - |
| identifier.citation | International Conference on Image Information Processing (ICIIP 2011) at JUIT Waknaghat, Simla, HP, 3-5 Nov 2011 | en |
| identifier.uri | http://hdl.handle.net/2080/1555 | - |
| description | Copyright belongs to proceeding publisher | en |
| description.abstract | In this paper we propose a novel method for
detecting target object in presence of background clutter such as leaves of trees and changing illumination condition in real-time video and then tracking the object. A small movement in the
background such as leaves of trees and changing illumination condition affects the performance of the automated tracking system. Here in this paper, we reduce the spatial and intensity
resolution of an image to minimize the effects caused by the background clutter. A 3-frame-differencing method is employed to detect a moving object. Fuzzy c-means clustering is used to
segment the moving object from the background. The proposed method yields superior performance as compared to the other existing methods. | en |
| format.extent | 1708072 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| subject | Video surveillance | en |
| subject | Spatial resolution | en |
| subject | intensity | en |
| subject | object tracking | en |
| subject | background clutter | en |
| subject | fuzzy c-means | en |
| title | Robust Real-Time Object Tracking Under Background Clutter | en |
| type | Article | en |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| 1569481347_cr.pdf | | 1668Kb | Adobe PDF | View/Open |
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