Background Modeling and Moving Object Detection |
Author(s): |
| Miss. Neha Shivajirao Patil , Walchand Institute of Technology, Solapur; Dr. S. R. Gengaje, Walchand Institute of Technology, Solapur |
Keywords: |
| Modeling Object Detection, Moving Object Detection |
Abstract |
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The most challenging task for most object detection applications is to accurately segment foreground from the background under the presence of heavy illumination changes. Moving object detection provides the separation of pixels in the foreground and background. While classifying, it is most important to model background for better results as background may contain some inappropriate data like flickering monitors, swaying trees etc. The proposed work uses a texture based method i.e. Local binary pattern for modeling the background and detecting moving objects. This approach is very robust in terms of gray scale variations, as the LBP operator is invariant to monotonic transformation of gray scale. Major steps involved in proposed system are background modeling, background subtraction and then foreground detection. The proposed work is implemented on MATLAB platform. |
Other Details |
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Paper ID: IJSRDV4I50281 Published in: Volume : 4, Issue : 5 Publication Date: 01/08/2016 Page(s): 392-393 |
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