Tracking and Detection of Sudden Pedestrian Crossing
Valapala Prabhavathi · Journal of Emerging Technologies and Innovative Research · 2017
From last decade, Safety plays a major role in automobile industry, which results in the invention of various safety measures such as air bags, central locking system, automatic breaking system, traffic signal detection etc. In such case pedestrian detection in night vision is one of the vital issues in advanced driving assistance systems. The main aim of the night vision systems is to avoid collision of vehicles with the pedestrians while driving on roads. It is very much important in night time; due to the varying light conditions it is very difficult to detect a pedestrian. FIR (Far Infrared) camera is used in this system to take images of a night scene. In this system we proposed a tree structured classifier which is a combination of Haar like features and OCS-LBP features to detect the pedestrian effectively. And also we used virtual reference lines The SPC detection is determined using the likelihood and spatiotemporal features, like overlapping ratio, magnitude and direction of the pedestrian’s movement.