人类行为识别:综述

Anju Latha Nair S., R. K. Megalingam
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引用次数: 4

摘要

人体动作识别是机器视觉领域的一个具有挑战性的问题。它在许多领域都有广泛的应用,无论是老年人护理,还是体育、电影、互动游戏等领域。来自不同来源的视频需要贴上标签,这样才能意识到一个人到底在做什么。人类行为识别,在其原始形式可以被认为是三个过程的组合,特征提取,基于提取的特征进行分类,最后是动作识别。动作标签是许多挑战的解决方案,如监控、视频检索和医疗保健问题。在线处理数据对医院、商场、体育馆、病人家中的自动监控有很大帮助
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Action Recognition: A Review
Human Action Recognition is a challenging problem in the field of machine vision. It finds diverse application in a range of fields, whether it be in care of elderlies, or in sports, movies, interactive gaming and other areas. Videos from various sources need to be labelled so that an awareness on what exactly a person is doing can be recognized. Human Action recognition, in its primitive form can be thought of as a combination of three processes, feature extraction, classification on the basis of the extracted features and finally, recognition of actions. The action labels are a solution to many challenges like surveillance, video retrieval and health care problems. Processing the data online is of great help in automatic surveillance in hospitals, malls, sports galleries, homes with patients
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