期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：8
页码：3399-3403
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In the recent times, it is noticed that increasing number of rear end accidents have been accredited due to distraction of the driver. Presence of quick advanced caution system can reduce the count and intensity of collisions. In this regard various advanced warning systems have been anticipated. But major challenge in this regard is identifying vehicle in varying environment. To combat such challenges a method is proposed here to design and apply real-time in-car video to sense and track the automobile further for safety. Concepts of probability are applied to identify occurrence of vehicle and their intensity distribution. Here temporal processing is done for target recognition. The motion conduct of scenes in video is modeled using Hidden Markov Model (HMM) which has been generally used in describing the sequential data.
