A passenger counting method is proposed in this paper based on binocular stereovision for collecting the real-time passenger data in public transport. This counting method involves three blocks: moving object detection, object labeling, object matching and counting. Object detection is the vital issue of the counting system. A row frame difference method is firstly adopted to detect possible moving objects. Then, the facticity of each possible object is judged based on disparity analysis. Experimental results show that the proposed method can obtain an on-spot counting accuracy of 92% tested on a large data set capturing from simulated scenarios in laboratory and on moving buses. This approach is effective to avoid illumination changes and shadow of passengers.%为了能实时地采集到公交系统中的客流量,提出了一种基于双目立体视觉的客流计数方法.该方法由3部分组成:运动目标检测,标记,匹配与计数.目标检测是计数问题的核心,该方法首先利用行帧差法检测可能的运动目标,然后基于视差分析判断可能目标的真伪.通过模拟环境和实际公交车环境的测试表明,该方法现场计数准确率达到92%以上,并有效克服了因计数场景中光线突变、阴影对计数准确率的影响.
展开▼
