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基于智能视觉的人群忽然聚集过程软件检测算法 被引量:1

People Suddenly Gathered Process Software Detection Algorithm Based on Intelligent Vision
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摘要 在检测过程中,假设智能视觉对象空间的人群忽然大量聚集,检测对象忽然增多,导致传统的检测方法无法对目标人群进行快速精准的抓取,从而降低了检测的清晰度和有效性。为此,提出基于改进形态学边缘检测算法的人群忽然聚集过程的检测方法。依据卡尔曼滤波方法对视觉空间的视频图像进行卡尔曼滤波处理,去除视频图像的噪声,根据形态边缘算法理论对目标人群的边缘信息进行提取,建立聚集人群流量方程,从而实现人群忽然聚集过程的有效检测。实验结果表明,利用改进算法进行人群忽然聚集过程的检测,能够提高检测的精准度和有效性,具有极大的优越性。 In the testing process, assume intelligent visual object space with large crowd suddenly, detection object sudden-ly increase, lead to the traditional detection method of target population cannot fast accurate grab, which reduces the clarityand effectiveness of testing. Therefore, based on the improved morphological edge detection algorithm of people suddenlygathered in the process of testing methods. Based on kalman filtering method for video image of visual space kalman filterprocessing, remove the noise of the video image, according to the theory of morphological edge algorithm to extract the edgeof the target population information gathered crowd flow equation, so as to realize the effective detection of the crowd sud-denly accumulation process. Experimental results show that the improved algorithm for detection of the crowd suddenlygathered process, can improve the detection accuracy and efficiency, has a great advantage.
作者 郝永杰
出处 《科技通报》 北大核心 2015年第3期181-183,227,共4页 Bulletin of Science and Technology
关键词 智能视觉 人群监测 卡尔曼滤波 intelligent vision crowd monitoring Kalman filter
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