利用灯柱摄像机图像确定停车场占用率

Diana L. Delibaltov, Wencheng Wu, R. Loce, Edgar A. Bernal
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引用次数: 33

摘要

近年来,停车位可用性检测由于与燃油消耗和交通拥堵高度相关而在世界范围内变得非常重要。我们提出了一种新的框架,用于从停车场的灯柱摄像头视图自动检测空置停车位。该方法基于停车场的几何形状对三维立体停车位进行建模。停车场的占用率是根据车辆探测器和每个空间的推断体积来确定的。我们在三个不同的数据集上评估了我们的方法,并表明它在各种各样的测试图像上的准确率接近80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parking lot occupancy determination from lamp-post camera images
In recent years, detection of parking space availability has become of great importance worldwide due to its high correlation with fuel consumption and traffic congestion. We propose a novel framework for the automatic detection of vacant parking spaces from a lamp-post camera view of a parking lot. Our method models the 3-D volume parking spaces based on the parking lot geometry. The occupancy of the parking lot is determined based on a vehicle detector and the inferred volume of each space. We evaluate our method on three different datasets and show that its accuracy is close to 80% on a wide variety of test images.
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