Road Crosser Warning Signal System Using Digital Video Image Processing
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
Object detection is the fundamental step in video analysis in many applications. Existing motion based methods are limited to detect the moving object when coping with dynamic background and non rigid foreground motion. In this we optimize the object detection and background learning into a single process. This work is on people tracking followed by their face recognition. Face recognition presents a challenging problem in the field of image analysis and computer vision especially when it is dealt with video sequences. Also in this project, we propose a system for identify the road crosser either human or animal through videos, based on shape analysis method. This project helps to prevent the accidents happening in India.
Authors and Affiliations
Supriya T, Selvakumar R. K, P. S. K Patra
Keywords
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- EP ID EP27910
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http://www.ijrcct.org/index.php/ojs/article/download/1190/pdf
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