基于边界框的监控系统的人类识别

P. Deepak, S. Krishnakumar, S. Suresh
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引用次数: 5

摘要

在所有的计算机视觉系统中,重要的一步是将运动物体从背景中分离出来,从而从视频图像中检测出所有的物体。本文的主要目的是为人群存在下的人体检测和跟踪系统设计一个边界盒概念。这些图像是用单目摄像机拍摄的。每个目标周围的包围框可以跟踪每一帧内的运动目标,可以用于人群检测和人群估计。给出了基于边界盒的目标检测及其跟踪的实现结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human recognition for surveillance systems using bounding box
In all computer vision system, the important step is to separate moving object from background and thus detecting all the objects from video images. The main aim of this paper is to design a bounding box concept for the human detection and tracking system in the presence of crowd. The images are captured by using monocular cameras. The bounding box around each object can track the moving objects in each frame and it can be used to detect crowd and the estimation of crowd. This paper gives the implementation results of bounding box for detecting objects and its tracking.
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