CAJ | 학술논문

该文实现了垂直摄像头下的实时人数统计。为减少场景中伪目标区域对人头检测的影响，首先利用背景建模法提取前景目标，并根据发色信息筛选前景目标。然后采用线性SVM训练得到的头部分类器识别头部，并将头部中心点作为运动人体的特征点，利用最近邻匹配法进行数据关联，完成行人的跟踪计数。不同场景下的视频测试结果表明，该方法能较准确地实现人数统计。
해문실현료수직섭상두하적실시인수통계。위감소장경중위목표구역대인두검측적영향，수선이용배경건모법제취전경목표，병근거발색신식사선전경목표。연후채용선성SVM훈련득도적두부분류기식별두부，병장두부중심점작위운동인체적특정점，이용최근린필배법진행수거관련，완성행인적근종계수。불동장경하적시빈측시결과표명，해방법능교준학지실현인수통계。
This paper achieves real-time people counting in video sequences captured with vertical camera . To reduce the impact for head detection by spurious objects , firstly, using background modeling method to extract foreground objects , and for further select based on hair color information , then using linear support vector machine(SVM) training a classifier to recognize the head , and the head center as a feature point of the moving for data association by the nearest neighbor matching method , to complete pedestrians track and count . Testing in different scenes , the results show that this method can achieve people counting accurately .