Detection and Tracking of Lane Crossing Vehicles in Traffic Video for Abnormality Analysis

In this paper, we present a novel approach for detection and tracking of lane crossing/illegal crossing vehicles in traffic video urban highways. For that intention, an initial pace is performed estimates the road region geometrical structure. After finding region, every vehicle tracked order to detect according distance between lines centre, it followed by based on model-based strategy. The proposed system has been evaluated using recall precision metric, which are received experiments carried selected sequences GRAM-RTM dataset publically available sequences. experimental results our method reaches highest accuracy vehicles.