Pedestrian and Object Detection Using a Spatial Filter in the Dark Environment
P. Selvarani, Sairam Natarajan · Research Journal of Applied Sciences Engineering and Technology · 2013
This study dedicates a new approach for detecting the pedestrians and the objects in the dark environment using a spatial filter. Detecting an actual position of an object and a person in the dark region is an atomic challenge for many researchers. To detect the objects and the persons, a spatial filter is utilized. The basic idea of the spatial filter is adapted by varying its radii of the dark region. Based on the radii’s variation, the persons and the objects are detected. Finally, the actual position of detecting objects and persons are segmented using object compensation. Extensive experiments have been carried out on an object equipped with an infrared/digital camera and preliminarily tested in different situations. This proposed method is achieved 90.7% accuracy in detecting an actual position of the human and the object in the dark area.