ISEE Smart Home (ISH): Smart video analysis for home security

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.