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Video Sensor Architecture for Surveillance Applications
Instituto de Automática e Informática Industrial (ai2), Universidad Politecnica de Valencia, C/. de Vera, s/n, E-46022 Valencia, Spain
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Received: 13 December 2011; in revised form: 20 January 2012 / Accepted: 21 January 2012 / Published: 3 February 2012
Abstract: This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software) in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%.
Keywords: image processing; computer vision; real-time systems; domain-specific architectures; distributed smart cameras; surveillance systems
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Cite This Article
MDPI and ACS Style
Sánchez, J.; Benet, G.; Simó, J.E. Video Sensor Architecture for Surveillance Applications. Sensors 2012, 12, 1509-1528.
Sánchez J, Benet G, Simó JE. Video Sensor Architecture for Surveillance Applications. Sensors. 2012; 12(2):1509-1528.
Sánchez, Jordi; Benet, Ginés; Simó, José E. 2012. "Video Sensor Architecture for Surveillance Applications." Sensors 12, no. 2: 1509-1528.