交通监控中的运动目标检测技术综述

K. Chandrasekar, P. Geetha
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引用次数: 0

摘要

在人机界面、机器人技术、交通监控等计算机视觉应用中,运动目标检测已成为广泛开发的研究领域。视频监控系统通常包含静态和移动物体。主要任务是识别特定区域中移动物体的物理运动。视频系统中存在的对象可以通过移动对象技术来确定。以往提出的运动目标检测方法是有益的,但也存在一定的缺陷。本文的目的是对各种检测运动物体正负的方法进行简要分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving Object Detection Techniques in Traffic surveillance: A Review
The moving object detection has become widely exploiting research area in many applications of computer vision such as human-machine interface, robotics, and traffic surveillance. The video surveillance system usually contains both static and moving objects. The main task is to identify the physical movement of a moving object in a particular area. The objects that are present in the video system can be determined by moving object techniques. The methods that has been proposed earlier for the detection of moving object is found to be beneficial and also has some drawbacks. The objective of this survey paper is to provide a brief classification for the various approaches in detecting the moving objects with positives and negatives.
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