基于改进帧差法的运动目标快速检测

Ming Zhu, Hongbo Wang
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引用次数: 15

摘要

在运动摄像机拍摄的视频中很难检测到运动物体,并且使用现有的物体检测方法需要花费大量的时间,因为基于基本的运动物体检测方法存在较大的误差率。本文提出了一种改进的帧差方法,可以缩短运行时间,提高目标检测的精度。实验结果表明,加入改进的帧差法后,检测速度提高21.06倍,图像检测精度提高约8%。该算法具有较强的鲁棒性,可以适应不同的场景,包括室内和室外。可应用于人工智能领域,如智能驾驶、无人机空中探测技术等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast detection of moving object based on improved frame-difference method
It is difficult to detect the moving object in the video which is captured with the moving camera, and it costs a lot of time to use current method of object detection, because there is a large false rate based on the basic method of moving object detection. In this paper, we propose an improved frame-difference method, which can shorten the running time and improve the accuracy of the object detection. The results of the experiment show that after adding the improved frame-difference method, the detection speed is increased by 21.06 times, the image detection accuracy is improved about 8%. The algorithm is robust and it can be adapted to different scenes including indoor and outdoor. It could be applied to the field of artificial intelligence, such as Intelligent Driving, UAV aerial detection technology and so on.
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