CAJ | 학술논문

由于存储时间和空间的限制,现有的行人检测算法无法满足智能视频监控的实时性。针对该不足,提出了一种基于视频运动分析的方法。该方法只对图像中含有运动信息的物体进行梯度直方图特征提取和分析,避免了对整帧图像进行窗口式的扫描,又省去了对图像进行金字塔变换的处理,极大的提高了图像处理的效率。与常规行人检测方法进行了对比,实验表明该方法是快速和高效的,能够满足智能视频监控的实时性需要。
유우존저시간화공간적한제,현유적행인검측산법무법만족지능시빈감공적실시성。침대해불족,제출료일충기우시빈운동분석적방법。해방법지대도상중함유운동신식적물체진행제도직방도특정제취화분석,피면료대정정도상진행창구식적소묘,우성거료대도상진행금자탑변환적처리,겁대적제고료도상처리적효솔。여상규행인검측방법진행료대비,실험표명해방법시쾌속화고효적,능구만족지능시빈감공적실시성수요。
As the storage time and space constraints,existing pedestrian detection algorithms cannot meet the real-time intelligent video surveillance.An approach based on motion analysis is proposed to solve this problem.The method only extracts gradient histogram features from the objects containing motion information.It avoids window scan on the whole image,and save the processing of Pyramid transformation.So the efficiency of image processing is greatly improved.Compared with conventional pedestrian detection,experimental results show that the approach is fast and effective,and can meet the real-time needs of intelligent video surveillance.