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ISEE Smart Home (ISH): Smart video analysis for home security
Junge Zhang; Yanhu Shan; Kaiqi Huang
2015
发表期刊Neurocomputing
期号149页码:752–766
摘要This paper presents a system of smart home for home security. Many previous papers on smart home try
to address this issue, but most of the published systems rely on various sensors. With the development
of video technology, video based smart home becomes more attractive, but there are few literatures
discussing a complete system including system architecture, feature extraction, event modeling, decision
making and
final information retrieval. Motivated by this challenge, we propose a novel systematical
video analysis architecture, providing rich source of information about the home environment. The
proposed ISEE Smart Home (ISH) is capable of analyzing various abnormal behaviors, providing realtime
alarm generation,
flexible video retrieval and video synopsis. The contributions can be summarized as
follows: (1) we propose and build a complete smart home system based on the intelligent video analysis
for home security. (2) We propose a novel foreground segmentation method based on the history
pattern, which is very suitable for indoor scene analysis. (3) An exact cutting based Region of Interest
(ROI) generation and scene structure modeling method is proposed for fast human detection. (4) A
concurrence relation graph of visual words is developed for reliable behavior analysis. The experimental
results indicate that the ISH can provide the reliable assistance for better life.

关键词Smart Home Video Analysis Object Detection
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12428
专题智能感知与计算研究中心
通讯作者Junge Zhang
作者单位CASIA
推荐引用方式
GB/T 7714
Junge Zhang,Yanhu Shan,Kaiqi Huang. ISEE Smart Home (ISH): Smart video analysis for home security[J]. Neurocomputing,2015(149):752–766.
APA Junge Zhang,Yanhu Shan,&Kaiqi Huang.(2015).ISEE Smart Home (ISH): Smart video analysis for home security.Neurocomputing(149),752–766.
MLA Junge Zhang,et al."ISEE Smart Home (ISH): Smart video analysis for home security".Neurocomputing .149(2015):752–766.
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