Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 05 April,2016 Pages:881-888
In present days, the major road ways are monitored using surveillance camera. When an accident happen with in this surveillance area, the existing system has the information about the accident and it was failed to alert the authority unless manually initiated. Our proposed system will send the information to the authority as earlier as any mesh up happened. This process is done by following two step.The images are taken with and without object in the surveillance area, the features are extracted and stored in the database. Classification is done between normal and abnormal images using Particle Swarm optimization.
PSO, MYSQL,FS
1.Hafiz Muhammad Atiq, Umar Farooq, Rabbia Ibrahim, Oneeza Khalid, Muhammad Amar D et.all.,”Vehicle Detection and Shape Recognition Using Optical Sensors “, 2010 Second International Conference on Machine Learning and Computing 2.Songkran Kantawong1 Non member and TanasakPhanprasit,et.all.,” Intelligent Traffic cone based on vehicle accident detection using image compression and RFID system Bangkok “12120, Thailand. ECTI,CON 2010 IEEE International Conference 3.Bing Xue., Mengjie Zhang., Will N. Browne,et.a,” Multi Objective Particle Swarm Optimisation PSO forFeature Selection”GECCO’12, July 7,11, 2012, Philadelphia, Pennsylvania, USA. Copyright 2012 ACM 978 1 4503 1177 9.12.07