通过跟踪室外停车场的移动物体来计算车辆数量

T. Hasegawa, K. Nohsoh, S. Ozawa
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引用次数: 10

摘要

在高速公路的停车场,有关拥堵状况的信息提供给司机。我们提出了一种利用室外停车场连续图像中运动物体的跟踪来计数车辆的方法。在本文中,我们描述了一种通过连接和分离从时间差图像中检测到的运动区域来提取位点的方法,以及一种通过提取的位点的特征来识别汽车的计数方法。我们将个人计算机与高速图像处理器相结合开发了该系统。通过VTR真实停车场图像的实验,验证了每帧0.2秒实时处理的鲁棒性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Counting cars by tracking moving objects in the outdoor parking lot
At the parking lot of the expressway, the information concerning the state of congestion is offered to drivers. We propose the method of counting cars by using the tracking of moving objects from the sequential images taken at the outdoor parking lot. In this paper, we describe a loci extraction method by linkage and separation of the moving regions detected from time differential images, and a counting method by recognition of a car from the features of the extracted locus. We develop the system by combining a personal computer with a high speed image processor. Both the robustness and practicality of real time processing, at 0.2 second per frame, are confirmed through experiments using VTR real parking lot images.<>
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