Effective distributed service architecture for ubiquitous video surveillance

Abstract

Video surveillance systems are playing an important role to protect lives and assets of individuals, enterprises and governments. Due to the prevalence of wired and wireless access to Internet, it would be a trend to integrate present isolated video surveillance systems by applying distributed computing environment and to further gestate diversified multimedia intelligent surveillance (MIS) applications in ubiquity. In this paper, we propose a distributed and secure architecture for ubiquitous video surveillance (UVS) services over Internet and error-prone wireless networks with scalability, ubiquity and privacy. As cloud computing, users consume UVS related resources as a service and do not need to own the physical infrastructure, platform, or software. To protect the service privacy, preserve the service scalability and provide reliable UVS video streaming for end users, we apply the AES security mechanism, multicast overlay network and forward error correction (FEC), respectively. Different value-added services can be created and added to this architecture without introducing much traffic load and degrading service quality. Besides, we construct an experimental test-bed for UVS system with three kinds of services to detect fire and fallincident features and record the captured video at the same time. Experimental results showed that the proposed distributed service architecture is effective and numbers of services on different multicast islands were successfully connected without influencing the playback quality. The average sending rate and the receiving rates of these services are quite similar, and the surveillance video is smoothly played.

Ephemeral-Cyber-Physical System: A Cloud-Like CPS Using Shared Devices in Open IoT

“…Δ in (4) is the deviation between S_tar and S_cur obtained from each sensor. D in (5) is a set of positive values of Δ. h in (6) is the number of elements in D. Equation (6) calculates the average deviation between S_tar and S_cur only for sensors that do not reach the target score. According to these equations, the larger the d, the larger the σ in N, and the larger the increase or decrease control values of devices are selected stochastically.…”

“…CPS processes real-world information with powerful computing resources in cyberspace and reflects the result in real-world actions. CPS includes, for example, smart grids [4], healthcare [5], video surveillance systems involving real-time analysis of camera images [6], and vehicle systems using car sensors [7]. The utilization domain of CPS will expand in the future, then various services that use a variety of devices indoors and outdoors such as office and street will increase.…”

Automatic surveillance in transportation hubs: No longer just about catching the bad guy

“…Li, Wu, Karanam, and Radke, 2014 considers person re-detection in an airport environment; while Arroyo, Yebes, Bergasa, Daza, and Almazán, 2015 consider suspicious behaviour detection in a shopping mall). Similarly, when considering the system wide implications of video surveillance, the literature has focussed on aspects such as the data and networking requirements of such large scale systems (Ajiboye, Birch, Chatwin, & Young, 2015;Chang, Wang, Wang, Liu, & Ho, 2012); interfaces to retrieve and display results (Ye, Liao, Dong, Zeng, & Zhong, 2015); or the needs of researchers and developers to aid in the development of such techniques (Nazare, dos Santos, Ferreira, & Robson Schwartz, 2014).…”

Framework for a Cloud-Based Multimedia Surveillance System

“…Despite significant benefit these systems provide, they tend to reach their limit in terms of scalability, resource utilization, ubiquitous access, searching, processing, and storage when large-scale surveillance support is required. In order to overcome this situation, a new breed of cloud-based surveillance systems has just started to emerge [4][5][6][7], which utilize the enormous processing capability, storage, and other resources provided by the cloud infrastructure.…”