Paper
4 March 2015 Design of natural user interface of indoor surveillance system
Lili Jia, Dan Liu, Mu-Jin Jiang, Ning Cao
Author Affiliations +
Proceedings Volume 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I; 952116 (2015) https://doi.org/10.1117/12.2176064
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China
Abstract
Conventional optical video surveillance systems usually just record what they view, but they can’t make sense of what they are viewing. With lots of useless video information stored and transmitted, waste of memory space and increasing the bandwidth are produced every day. In order to reduce the overall cost of the system, and improve the application value of the monitoring system, we use the Kinect sensor with CMOS infrared sensor, as a supplement to the traditional video surveillance system, to establish the natural user interface system for indoor surveillance. In this paper, the architecture of the natural user interface system, complex background monitoring object separation, user behavior analysis algorithms are discussed. By the analysis of the monitoring object, instead of the command language grammar, when the monitored object need instant help, the system with the natural user interface sends help information. We introduce the method of combining the new system and traditional monitoring system. In conclusion, theoretical analysis and experimental results in this paper show that the proposed system is reasonable and efficient. It can satisfy the system requirements of non-contact, online, real time, higher precision and rapid speed to control the state of affairs at the scene.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lili Jia, Dan Liu, Mu-Jin Jiang, and Ning Cao "Design of natural user interface of indoor surveillance system", Proc. SPIE 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I, 952116 (4 March 2015); https://doi.org/10.1117/12.2176064
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KEYWORDS
Video surveillance

Human-machine interfaces

Sensors

Infrared sensors

Video

Motion models

Infrared cameras

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