CAJ | 학술논문

为解决智能监控中空间受限情景下的行人计数问题，设计了基于 HOG 的行人识别与计数算法。通过限制HOG目标检测算法中图像的缩放范围，并设置感兴趣的检测区域，相比直接应用OpenCV函数实现的目标检测，其时间效率大幅提升；采用基于单计数线算法完成双向流量统计。三个不同走廊环境的实验表明，本文算法具有不依赖帧间运动信息的特点，可快速稳定的对空间受限情景下的行人进行计数。
위해결지능감공중공간수한정경하적행인계수문제，설계료기우 HOG 적행인식별여계수산법。통과한제HOG목표검측산법중도상적축방범위，병설치감흥취적검측구역，상비직접응용OpenCV함수실현적목표검측，기시간효솔대폭제승；채용기우단계수선산법완성쌍향류량통계。삼개불동주랑배경적실험표명，본문산법구유불의뢰정간운동신식적특점，가쾌속은정적대공간수한정경하적행인진행계수。
A rapid pedestrian detection and counting algorithm based on HOG is proposed for getting the pedestrian flow passing the confined space. The time efficiency is increased remarkable by restricting window shrink range and setting ROI. Counting method based on single line is presented for getting tow directions people number. Experiments in three different passageway show that the proposed method don’t depend on moving information, besides it has the ability of fast and stable in confined space pedestrian counting.