Counting moving persons in crowded scenes
Counting moving persons in crowded scenes
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DOI：
10.1007/s00138-013-0491-3
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发表时间：
2013-07
影响因子：
3.3
通讯作者：
Donatello Conte;P. Foggia;G. Percannella;M. Vento
中科院分区：
文献类型：
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作者：
Donatello Conte;P. Foggia;G. Percannella;M. Vento
提出了一种视频监控场景中移动人群数量的估计方法。在2009年和2010年国际比赛的公共数据库上对该方法的性能进行了表征；在同一数据库上，将所提出的方法与PETS比赛参与者进行了比较。该系统精度高，速度快，可用于实时监控应用。该方法的基本原理在于提取合适的尺度不变特征点，并在假设运动特征点与运动的人有关的情况下，从这些特征点中逐次选择运动特征点。通过将输入帧划分为更小的水平区域来考虑透视失真，每个区域具有（近似）相同的透视效果。因此，对每个区域分别进行人数评价，并对评价结果进行汇总。该方法最重要的特点是提供了一个简单的训练程序，使用一个简短的视频序列，显示一个人在场景中走来走去；该程序自动评估系统所需的所有参数，因此使该方法特别适合最终用户应用。
The paper presents a method for estimating the number of moving people in a scene for video surveillance applications. The method performance has been characterized on the public database used for the PETS 2009 and 2010 international competitions; the proposed method has been compared, on the same database, with the PETS competitions participants. The system exhibits a high accuracy, and revealed to be so fast that it can be used in real time surveillance applications. The rationale of the method lies on the extraction of suited scale-invariant feature points and the successive selection among them of the moving ones, under the hypothesis that the latter are associated to moving people. The perspective distortions are taken into account by dividing the input frames into smaller horizontal zones, each having (approximately) the same perspective effects. Therefore, the evaluation of the number of people is separately carried out for each zone, and the results are summed up. The most important peculiarity of the proposed method is the availability of a simple training procedure using a brief video sequence that shows a person walking around in the scene; the procedure automatically evaluates all the parameters needed by the system, thus making the method particularly suited for end-user applications.