Designing an embedded video processing camera using a 16-bit microprocessor for surveillance system

Author(s):  
K. Sato ◽  
B.L. Evans ◽  
J.K. Aggarwal
2014 ◽  
Vol 19 (2-3) ◽  
pp. 51-58
Author(s):  
Jaromir Przybylo ◽  
Joanna Grabska-Chrzastowska ◽  
Przemyslaw Korohoda

Abstract Automated and intelligent video processing and analysis systems are becoming increasingly popular in video surveillance. Such systems must meet a number of requirements, such as threat detection and real-time video recording. Furthermore, they cannot be expensive and must not consume too much energy because they have to operate continuously. The work presented here focuses on building a home video surveillance system matching the household budget and possibly making use of hardware available in the house. Also, it must provide basic functionality (such as video recording and detecting threats) all the time, and allow for a more in-depth analysis when more computing power be available.


Over the last few a long time, brilliant infrastructure growths were noticed in safety-related troubles during the world. So, with multiplied call for for Security, Video-based Surveillance has grown to be an essential location for the research. An Intelligent Video Surveillance system essentially censored the performance, happenings, or converting data normally in terms of humans, cars or every other item from a distance by way of some electronic equipment (normally virtual digital camera). The scopes like prevention, detection, and intervention that have brought about the improvement of real and constant video surveillance structures can shrewd video processing abilities. In wide phrases, superior video-based surveillance could be defined as a shrewd video processing approach designed to help protect personnel by imparting reliable real-time alerts and to support green video evaluation for forensic investigations. This chapter offers the diverse requirements for designing a robust and reliable video surveillance machine. Also, it is mentioned the one-ofa-kind kinds of cameras required in one of a kind environmental conditions together with indoor and out of doors surveillance. Different modeling schemes are required for designing green surveillance machines under numerous illumination conditions.


2010 ◽  
pp. 1896-1912
Author(s):  
Hao Yin ◽  
Chuang Lin ◽  
Zhijia Chen ◽  
Geyong Min

The integration of wireless communication and embedded video systems is a demanding and interesting topic which has attracted significant research efforts from the community of telecommunication. This chapter discusses the challenging issues in wireless video surveillance and presents the detailed design for a novel highly-secure video surveillance system over ad hoc wireless networks. To this end, we explore the state-of-the-art cross domains of wireless communication, video processing, embedded systems, and security. Moreover, a new media-dependent video encryption scheme, including a reliable data embedding technique and real-time video encryption algorithm, is proposed and implemented to enable the system to work properly and efficiently in an open and insecure wireless environment. Extensive experiments are conducted to demonstrate the advantages of the new systems, including high security guarantee and robustness. The chapter would serve as a good reference for solving the challenging issues in wireless multimedia and bring new insights on the interaction of different technologies within the cross application domain.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Yanli Wan ◽  
Xifu Wang ◽  
Hongpu Hu

This paper proposes a new moving object segmentation algorithm for freely moving cameras which is very common for the outdoor surveillance system, the car build-in surveillance system, and the robot navigation system. A two-layer based affine transformation model optimization method is proposed for camera compensation purpose, where the outer layer iteration is used to filter the non-background feature points, and the inner layer iteration is used to estimate a refined affine model based on the RANSAC method. Then the feature points are classified into foreground and background according to the detected motion information. A geodesic based graph cut algorithm is then employed to extract the moving foreground based on the classified features. Unlike the existing global optimization or the long term feature point tracking based method, our algorithm only performs on two successive frames to segment the moving foreground, which makes it suitable for the online video processing applications. The experiment results demonstrate the effectiveness of our algorithm in both of the high accuracy and the fast speed.


Author(s):  
Hao Yin ◽  
Chuang Lin ◽  
Zhijia Chen ◽  
Geyong Min

The integration of wireless communication and embedded video systems is a demanding and interesting topic which has attracted significant research efforts from the community of telecommunication. This chapter discusses the challenging issues in wireless video surveillance and presents the detailed design for a novel highly-secure video surveillance system over ad hoc wireless networks. To this end, we explore the state-of-the-art cross domains of wireless communication, video processing, embedded systems, and security. Moreover, a new media-dependent video encryption scheme, including a reliable data embedding technique and real-time video encryption algorithm, is proposed and implemented to enable the system to work properly and efficiently in an open and insecure wireless environment. Extensive experiments are conducted to demonstrate the advantages of the new systems, including high security guarantee and robustness. The chapter would serve as a good reference for solving the challenging issues in wireless multimedia and bring new insights on the interaction of different technologies within the cross application domain.


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