A NEW TECHNIQUE FOR OBJECT DETECTION AND TRACKING AND ITS APPLICATION TO ANALYSIS OF ROAD SCENE
- Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, 80626 Moscow, Russian Federation
Keywords: Computer Vision, Image Understanding, Object Detection and Recognition, Autonomous Vehicles, Road Scenes Recognition
Abstract. In this paper, a new technique for real-time object detection and tracking is presented. This technique is based on the geometrized histograms method (GHM) for segmenting and describing color images (frames of video sequences) and on the facilities for global image analysis provided by this method. Basic elements of the technique that make it possible to solve image understanding problems almost without using the pixel arrays of images are introduced and discussed.
A real-time parallel software implementation of the developed technique is briefly discussed. This technique is applied to solving problems of road scene analysis. The application to finding small contrast objects in images, like traffic signals and signal zones of vehicles is given. The developed technique is applied also to detecting other vehicles in the frame. The results of processing different frame of videos of road scenes are presented and discussed.