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This paper presents a new motion vector based moving object detection system for use in Advanced Driver Assistance Systems. By the shared-use of motion vectors with a video encoder, the computational cost for motion estimation using optical flow method can be saved, making the system more cost effective. Moving objects are detected by evaluating the planar parallax residuals of macroblocks in the...
Detection of moving vehicles is a crucial part of Advanced Driver Assistance Systems (ADAS) in automobiles. Detecting approaching vehicles accurately may help to avoid threats while driving, and alerting the driver in a timely manner can improve road safety. To this end, real-time processing is an essential requirement. In this paper, a vision-based and block-based method is proposed, which uses spatial...
This paper presents a novel algorithm for the detection and tracking of low relative speed moving vehicles. The proposed algorithm is particularly suitable for massproduced in-vehicle devices as it combines with motion vector based moving object detection to form a complete solution for an Advanced Driver Assistance System given its reduction in cost and complexity. The algorithm utilizes motion vectors...
This paper presents a new approach to the detection of a vehicle with low relative speed to a monocular moving camera, for complementing moving vehicle detection using motion vectors from H.264/AVC encoder. This method makes use of the generic horizontal line features that exist on most vehicles as a clue of localizing moving vehicles. Further filtering and grouping of these detected lines followed...
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