背景减除算法与车辆计数方法的比较
Comparing Background Subtraction Algorithms and Method of Car Counting
摘要：
在本文中，我们比较了各种图像背景减除算法与地面真值的汽车计数。我们已经给出了上千张图像的样本，这些图像是当前交通的快照，作为各个十字路口和高速公路的记录。我们还计算了这些图像中可见的汽车的近似数量。为了确定用于处理数百万张图像的算法的准确性，我们在许多指标上对它们进行了比较，包括（i）可扩展性（ii）准确性（iii）处理时间。
英文摘要：
In this paper, we compare various image background subtraction algorithms with the ground truth of cars counted. We have given a sample of thousand images, which are the snap shots of current traffic as records at various intersections and highways. We have also counted an approximate number of cars that are visible in these images. In order to ascertain the accuracy of algorithms to be used for the processing of million images, we compare them on many metrics that includes (i) Scalability (ii) Accuracy (iii) Processing time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
