人体自动检测综述

Nagi Ould Taleb, A. Chergui, M. L. B. Maati, Mohamedade Farouk Nanne
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引用次数: 1

摘要

视频序列中人的自动检测是目标检测的一个典型实例。它被认为是一个非刚性物体;它在不同的角度有许多表现。几种方法使用不同的方法来结合行人检测的特定内容和物体识别的共同内容。要解决这个问题,一个可靠的解决方案是设计许多智能系统,包括视频监控、电源管理、车辆驾驶辅助系统和广告政策评估。本文将讨论视频序列中人(行人)检测的主要技术。尤其是那些基于学习的方法。然后,我们用一般术语描述在执行检测后可以提取的信息类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview on automatic detection of human body
Automatic detection of human in a video sequence is a canonical instance of object detection. It's considered as a nonrigid object; it has many appearances at different perspectives. Different approaches are used by several methods to combine what is specific to the pedestrian detection, and what is common to the object recognition. A robust solution to this problem would have numerous applications to design smart systems, including video surveillance, power management, vehicle driver assistance systems, and evaluation of advertising policies. In this article we will discuss the main techniques of human (pedestian) detection on video sequence. Especially those how are learning-based methods. Then we describe in general terms the type of information that can be extracted once the detection is performed.
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