Share-use of the motion vectors from video encoding for high relative speed moving vehicle detection

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 constraints to detect independent moving vehicles, employs the motion vectors of video encoding instead of optical flows, and also adopts a rough road region detection to reduce the number of moving blocks that are to be clustered and refined to yield independent moving vehicles. Experimental results in complex traffic scenarios demonstrate that our method is robust and real-time for on-road vehicle detection.

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