Human detection from images and videos: A survey

被引:163
作者
Duc Thanh Nguyen [1 ,2 ]
Li, Wanqing [1 ]
Ogunbona, Philip O. [1 ]
机构
[1] Univ Wollongong, Sch Comp Sci & Software Engn, Wollongong, NSW 2522, Australia
[2] Singapore Univ Technol & Design, Informat Syst Technol & Design, Singapore, Singapore
关键词
Human detection; Human description; Object detection; Object description; PEDESTRIAN DETECTION; PICTORIAL STRUCTURES; OBJECT DETECTION; MOTION; SHAPE; CLASSIFICATION; SUBSPACE; DESCRIPTOR; MULTIPLE; PATTERNS;
D O I
10.1016/j.patcog.2015.08.027
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The problem of human detection is to automatically locate people in an image or video sequence and has been actively researched in the past decade. This paper aims to provide a comprehensive survey on the recent development and challenges of human detection. Different from previous surveys, this survey is organised in the thread of human object descriptors. This approach has advantages in providing a thorough analysis of the state-of-the-art human detection methods and a guide to the selection of appropriate methods in practical applications. In addition, challenges such as occlusion and real-time human detection are analysed. The commonly used evaluation of human detection methods such as the datasets, tools, and performance measures are presented and future research directions are highlighted. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:148 / 175
页数:28
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