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Published in:
2017 | OriginalPaper | Chapter
The New Detection Algorithm for an Obstacle’s Information in Low Speed Vehicles
Authors : Sinjae Lee, Seok-Cheol Kee
Published in: Computer Vision Systems
Publisher: Springer International Publishing
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Abstract
MOD (Moving Object Detection) development methods were used motion region detection methods in image, but it is necessary to detect the position and the size of obstacles in a warning area for collision avoidance in a low speed vehicle. Therefore, this paper proposed the new obstacle detection algorithm. First, the proposed algorithm detects the motion region using MHI (Motion History Image) algorithm, which is based on motion information between image frames. After the algorithm is processed by a high-speed and real-time image processing of a moving obstacle, a warning logic system receives the information of the position and the size of the obstacle nearest to a car. Finally, it determines warning signal send to the control part or not. The proposed algorithm recognizes both fixed and moving obstacles such as cars and buildings using 4 - channel AVM camera images and has a fast calculation speed. After we simulated with the image DBs and the simulation tool, we have 80.07% with the average detection rate.