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首页> 外文会议>Proceedings of the Fifth international symposium on test automation amp; instrumentation >Real-time detection of moving human target under Indoor Environment based on video
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Real-time detection of moving human target under Indoor Environment based on video

机译：基于视频的室内环境下移动目标的实时检测

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摘要

In the application of computer vision,a fundamental and critical task is to identify the moving object from a video sequence.Motion target detection is refers to from the video sequence in real time to extract the moving object,it is the lowest level of the entire computer vision system,is the basis for subsequent high-level processing such as object classification,behavior and so on.For the fixed monocular camera motion target detection,the most commonly used method is background subtraction technique.But as a result of building background model needs to consider many factors such as illumination change,so developing a good background subtraction algorithm is facing many challenges.This paper mainly studies the background subtraction method of division and Inter-frame Difference is used to overcome the defects of the single method,and the background image adaptive update,in order to improve system stability and adaptability.
机译：在计算机视觉的应用中，一项基本而关键的任务是从视频序列中识别出运动对象。运动目标检测是指从视频序列中实时提取出运动对象，这是整个过程中最低的。计算机视觉系统是进行对象分类，行为等后续高级处理的基础。对于固定式单眼相机运动目标检测，最常用的方法是背景减法。但是由于建立了背景模型由于需要考虑光照变化等多种因素，因此开发一种良好的背景减影算法面临着很多挑战。本文主要研究背景除法的分割方法，采用帧间差分法克服单一方法的缺点，背景图像自适应更新，以提高系统的稳定性和适应性。

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