Detection of Foreground Object for Video Surveillance Applications
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
This paper describes the simplest and efficient method to find the foreground objects in less computation time. Initially the video is converted into frames. Those frames are compressed by eliminating the redundant frames by extracting more informative frames. The correlation coefficient is used to find similar frames which are to be eliminated. The first frame is set as the background of the image. The background image is subtracted from all subsequent compressed frames so that we obtain foreground of the image. The morphological operation is performed on the foreground objects to obtain boundary of objects. The noise is removed by applying the median filter. Moore neighborhood algorithm is applied to the image to obtain objects. Those objects can be used for further processing in various applications.
Authors and Affiliations
S. Ariffa Begum, Dr. A. Askarunisa, Vinod kumar B, Veerapandi M, Surya Narayana Moorthy T K
Keywords
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- EP ID EP23607
- DOI http://doi.org/10.22214/ijraset.2017.3147
- Views 271
- Downloads 8
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