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Intensity Range based Background Subtraction for Effective Object Detection
| Content Provider | NIT Rourkela |
|---|---|
| Author | Hati, K. K. Sa, Pankaj K. Majhi, B. |
| Description | IEEE Signal Processing Letters, Vol. 20, No. 8, August 2013 |
| Abstract | In this letter, we propose an intensity range based object detection scheme for videos with fixed background and static cameras. The scheme suggests two different algorithms; the first one models the background from initial few frames and the second algorithm extracts the objects based on local thresholding. The strength of the scheme lies in its simplicity and the fact that, it defines an intensity range for each pixel location in the background to accommodate illumination variation as well as motion in the background. The efficacy of the scheme is shown through comparative analysis with competitive methods. Both visual as well as quantitative measures show an improved performance and the scheme has a strong potential for applications in real time surveillance. |
| File Size | 398032 |
| File Format | |
| ISSN | 10709908 15582361 |
| DOI | 10.1109/LSP.2013.2263800 |
| Language | English |
| Publisher | IEEE |
| Access Restriction | Open |
| Subject Keyword | Video surveillance Video segmentation Background modeling Background subtraction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
