Video Sensor Architecture for Surveillance Applications
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/2/1509/ |
| _version_ | 1811308328290091008 |
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| author | José E. Simó Jordi Sánchez Ginés Benet |
| author_facet | José E. Simó Jordi Sánchez Ginés Benet |
| author_sort | José E. Simó |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-04-13T09:20:11Z |
| format | Article |
| id | doaj.art-ad6ed791039c4afea4b160e108f78273 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:20:11Z |
| publishDate | 2012-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ad6ed791039c4afea4b160e108f782732022-12-22T02:52:37ZengMDPI AGSensors1424-82202012-02-011221509152810.3390/s120201509Video Sensor Architecture for Surveillance ApplicationsJosé E. SimóJordi SánchezGinés BenetThis 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%.http://www.mdpi.com/1424-8220/12/2/1509/image processingcomputer visionreal-time systemsdomain-specific architecturesdistributed smart camerassurveillance systems |
| spellingShingle | José E. Simó Jordi Sánchez Ginés Benet Video Sensor Architecture for Surveillance Applications Sensors image processing computer vision real-time systems domain-specific architectures distributed smart cameras surveillance systems |
| title | Video Sensor Architecture for Surveillance Applications |
| title_full | Video Sensor Architecture for Surveillance Applications |
| title_fullStr | Video Sensor Architecture for Surveillance Applications |
| title_full_unstemmed | Video Sensor Architecture for Surveillance Applications |
| title_short | Video Sensor Architecture for Surveillance Applications |
| title_sort | video sensor architecture for surveillance applications |
| topic | image processing computer vision real-time systems domain-specific architectures distributed smart cameras surveillance systems |
| url | http://www.mdpi.com/1424-8220/12/2/1509/ |
| work_keys_str_mv | AT joseesimo videosensorarchitectureforsurveillanceapplications AT jordisanchez videosensorarchitectureforsurveillanceapplications AT ginesbenet videosensorarchitectureforsurveillanceapplications |