Video Surveillance for Accident Detection on Highways

Abstract

Video surveillance is nowadays necessary to observe places, people and things to pull out more valuable and useful information from video data and it is one of the most active research topics in computer vision [1]. From numerous applications of video surveillance the proposed system works for accident detection from abnormal behavior of vehicles on highways and notifying for the same. It works with the objective of producing the complete automatic intelligent system to overcome the delay proposed by the human efforts. To fulfill the objective first the moving object is detected using background subtraction. These objects are classified to separate out the desired objects which are tracked to analyze the behavior and generating the required events. The system detects accident using the vehicles stopped motion, which can be due to accident or vehicle stopped at roadside. Now from this two situations accident situation can be detected by using the classifier.