Vítek Stanislav, Melničuk Petr
Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic.
Sensors (Basel). 2017 Dec 28;18(1):69. doi: 10.3390/s18010069.
The importance of detection of parking space availability is still growing, particularly in major cities. This paper deals with the design of a distributed wireless camera system for the management of parking spaces, which can determine occupancy of the parking space based on the information from multiple cameras. The proposed system uses small camera modules based on Raspberry Pi Zero and computationally efficient algorithm for the occupancy detection based on the histogram of oriented gradients (HOG) feature descriptor and support vector machine (SVM) classifier. We have included information about the orientation of the vehicle as a supporting feature, which has enabled us to achieve better accuracy. The described solution can deliver occupancy information at the rate of 10 parking spaces per second with more than 90% accuracy in a wide range of conditions. Reliability of the implemented algorithm is evaluated with three different test sets which altogether contain over 700,000 samples of parking spaces.
检测停车位可用性的重要性仍在不断增加，尤其是在大城市。本文讨论了一种用于停车位管理的分布式无线摄像头系统的设计，该系统可以根据来自多个摄像头的信息确定停车位的占用情况。所提出的系统使用基于Raspberry Pi Zero的小型摄像头模块以及基于定向梯度直方图（HOG）特征描述符和支持向量机（SVM）分类器的计算效率高的占用检测算法。我们将车辆方向信息作为辅助特征，这使我们能够获得更高的准确率。所描述的解决方案能够在广泛的条件下以每秒10个停车位的速度提供占用信息，准确率超过90%。使用三个不同的测试集对所实现算法的可靠性进行了评估，这些测试集总共包含超过70万个停车位样本。
