文章基本信息

标题：Survey on Human Activity Recognition Techniques For Video Surveillance
本地全文：下载
作者：Utkal Sinha ; Himanish Shekhar Das ; Mayank Shekhar 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：9-12
语种：English
出版社：Ayushmaan Technologies
摘要：Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents’ actions and the environmental conditions. Vision-based activity recognition is a very important and challenging problem to track and understand the behavior of agents through videos taken by various cameras. The primary technique employed is computer vision.Vision-based activity recognition has found many applications such as human-computer interaction, user interface design, robot learning, and surveillance, among others. This report describes the literature served for developing human activity recognition algorithm and a novel approach to it.
关键词：Computer Vision;Human Computer Interaction;Human Activity Recognition;Visual Surveillance.