Abstract
Due to limited battery capacity, reducing power consumption of mobile surveillance camera like a video event data recorder is important to extend surveillance time. In this chapter, we propose a design of low-power video event data recorder which records events such as movement of objects, or impact to the camera itself. Duty-cycling of two different encoders, which are a low-power encoder and a high-compression encoder, are employed to implement the low-power video event data recorder. Operating time of the proposed system is considerably extended by duty-cycling of the two encoders in the event-driven operation; the system mainly stays in event detection mode and wakes up only when an event is detected. Because the most valuable information in the event is right before or at the moment of event detection, the proposed system records video from 10 s before the event detection. According to experiment, the energy consumption of the proposed system is decreased up to 25.1 % (by 33.2 % on average) of conventional video event data recorder. As energy consumption of the proposed system is reduced by 66.8 % on average, the surveillance time of the proposed system can be increased by three times consequentially.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mango M et al (2009) Multimodal abandoned/removed object detection for low-power video surveillance systems. In: IEEE international conference on advanced video and signal based surveillance (AVSS), pp 188–193, Sep 2009
Robert K (2009) Night-time traffic surveillance: A robust framework for multi-vehicle detection, classification and tracking. In: IEEE international conference on advanced video and signal based surveillance (AVSS), pp 1–6, Sep 2009
Belongie S, Dollar P, Perona P (2010) The fastest pedestrian detector in the west. In: British machine vision conference
Remagnino P, Shihab A, Jones G (2004) Distributed intelligence for multi-camera visual surveillance. Pattern Recogn 37(4):675–689 (Agent Based Computer Vision)
Kim G et al (2012) Energy-aware operation of black box surveillance cameras under event uncertainty and memory constraint. In: IEEE international conference on multimedia and expo (ICME), pp 782–787, July 2012
Video data recording systems for road vehicle accidents, Technical report KS C 5078:2013R, Korean Agency for Technology and Standards, May 2013
Chien S-Y et al (2012) Power optimization of wireless video sensor nodes in m2 m networks. In: Design automation conference (ASP-DAC), Asia and South Pacific, pp 401–405, Jan 2012
Jin X, Goto S (2011) Encoder adaptable difference detection for low power video compression in surveillance system. Sig Process Image Commun 26(3):130–142
Fernandez-Bemi J et al (2011) Wi-flip: a wireless smart camera based on a focal-plane low-power image processor. In: ACM/IEEE international conference on distributed smart cameras (ICDSC), pp 1–6, Aug 2011
Jung SM, Lim M-S (2007) System on chip design of embedded controller for car black box. In: International symposium on information technology convergence (ISITC), pp 217–221, Nov 2007
Kassem A et al (2008) Vehicle black box system. In: Annual IEEE systems conference, pp 1–6, Apr 2008
Linden D, Reddy TB (2001) A handbook of batteries, 3rd edn. McGraw-Hill, New York
Korea Transportation Safety Authority (2012) A study on survey of the 2012 car mileage report. http://www.ts2020.kr/
European Commission, Driving and parking patterns of European car drivers—a motility survey. http://publications.jrc.ec.europa.eu/repository/handle/111111111/26994
CoreLogic, CLM9722 datasheet. http://www.corelogic.co.kr/down_pb/110525_CLM9720CLM9721_PB_v5.0_noDRM.pdf
Ye W, Heidemann J, Estrin D (2002) An energy-efficient mac protocol for wireless sensor networks. In: 21st international annual joint conference of the IEEE computer and communications societies (INFOCOM’02), New York, NY, USA
van Dam T, Langendoen K (2002) An adaptive energy efficient mac protocol for wireless sensor networks. In: 1st ACM conference on embedded networked sensor systems (SenSys), pp 53–64
Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks. In: 2nd ACM conference on embedded networked sensor systems (SenSys), pp 95–107, Nov 2004
El-Hoiydi A, Decotignie J (2005) Low power downlink mac protocol for infrastructure wireless sensor networks. ACM Mob Netw Appl 10(5):675–690
Jung D, Teixeira T, Barton-Sweeney A, Savvides A (2007) Model-based design exploration of wireless sensor node lifetimes. In: Proceedings of 4th European conference EWSN 2007, pp 277–292, Jan 2007
Masashi M et al Image recording apparatus. Japan Patent JP2006-127206A
Takajawa N et al Recording information generating device and recording information generating program and information recording medium. Japan Patent JP2014-036428A
Park H The fast booting of embedded linux. The 3th CE Linux Forum Korea Technical Jamboree. http://tree.celinuxforum.org/CelfPubWiki/KoreaTechJamboree3
Kim H et al (2013) A low-power video recording system with H.264/AVC and light-weight compression. In: Proceedings of 2013 IEEE workshop on signal processing systems (SiPS), pp 183–188, Oct 2013
Pennebaker WB Mitchel JL JPEG: Still Image Data Compression Standard. Springer, New York
Kim W (2014) Low complexity, high accuracy event detection using DCT coefficients for parked mode vehicle surveillance camera. Master’s thesis, Department of Electrical Engineering, KAIST
Mobile dram power-saving features and power calculations. Technical report TN-46-12, Micron technology, May 2009
Benezeth Y et al (2010) Comparative study of background subtraction algorithms. J Electron Imaging 19(3):033003-033003-12
Ghidary S et al (2000) Human detection and localization at indoor environment by home robot. IEEE Int Conf Syst Man Cybern 2:1360–1365
Microsemi, IGLOO2 FPGA datasheet. http://www.microsemi.com/products/fpga-soc/fpga/igloo2docs#documents
Looxcie, Looxcie HD user manual. http://www.looxcie.com
Rideye, Rideye 32 GB. http://www.rideye.com
Acknowledgments
This work is supported by the Center for Integrated Smart Sensors funded by the Ministry of Science, ICT and Future Planning as the Global Frontier Project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Yang, J., Jung, J., Kyung, CM. (2016). Low-Power Operation for Video Event Data Recorder. In: Kyung, CM. (eds) Theory and Applications of Smart Cameras. KAIST Research Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9987-4_6
Download citation
DOI: https://doi.org/10.1007/978-94-017-9987-4_6
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9986-7
Online ISBN: 978-94-017-9987-4
eBook Packages: EngineeringEngineering (R0)