Skip to Main content Skip to Navigation
Conference papers

Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors

Abstract : The interest in low-cost and small size video surveillance systems able to collaborate in a network has been increasing over the last years. Thanks to the progress in low-power design, research has greatly reduced the size and the power consumption of such distributed embedded systems providing flexibility, quick deployment and allowing the implementation of effective vision algorithms performing image processing directly on the embedded node. In this paper we present a multi-modal video sensor node designed for low-power and low-cost video surveillance able to detect changes in the environment. The system is equipped with a CMOS video camera and a Pyroelectric InfraRed (PIR) sensor exploited to reduce remarkably the power consumption of the system in absence of events. The on-board microprocessor implements an NCC-based change detection algorithm. We analyze different configurations and characterize the system in terms of runtime execution and power consumption.
Document type :
Conference papers
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download

https://hal.inria.fr/inria-00326749
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 1:52:09 PM
Last modification on : Friday, October 30, 2020 - 12:04:02 PM
Long-term archiving on: : Friday, June 4, 2010 - 12:13:47 PM

File

1569140054.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00326749, version 1

Collections

Citation

Michele Magno, Federico Tombari, Davide Brunelli, Luigi Di Stefano, Luca Benini. Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Andrea Cavallaro and Hamid Aghajan, Oct 2008, Marseille, France. ⟨inria-00326749⟩

Share

Metrics

Record views

262

Files downloads

563