Intelligent Transportation System Reasoning for Shadow Impaired Traffic Surveillance

Object detection in the field of computer vision stands to be a crucial and critical task for object and scene recognition, employment of object recognition is vast in field of surveillance and artificial intelligence. In this paper, we are presenting an Intelligence Transportation system (ITS) for effective vehicle tracking and traffic analysis. Adaptive motion model along with spatiotemporal particle guiding and template update strategies are available for tracking vehicles using airborne particles from an airplane or UAV ( Un manned Aerial Vehicle ). We are proposing to apply the same terminology to trace vehicles from front view by locating camera on the lamp posts or signal posts available in congested areas of the city. This method will be utilized for vehicle detection and segmentation by eliminating its shadow duplicate by using IOOPL algorithm. The vehicle details will be recorded in log for future verification.