DocumentCode :
2985175
Title :
CITRIC: A low-bandwidth wireless camera network platform
Author :
Chen, Phoebus ; Ahammad, Parvez ; Boyer, Colby ; Huang, Shih-I ; Lin, Leon ; Lobaton, Edgar ; Meingast, Marci ; Oh, Songhwai ; Wang, Simon ; Yan, Posu ; Yang, Allen Y. ; Yeo, Chuohao ; Chang, Lung-Chung ; Tygar, J.D. ; Sastry, S. Shankar
Author_Institution :
Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA
fYear :
2008
fDate :
7-11 Sept. 2008
Firstpage :
1
Lastpage :
10
Abstract :
In this paper, we propose and demonstrate a novel wireless camera network system, called CITRIC. The core component of this system is a new hardware platform that integrates a camera, a frequency-scalable (up to 624 MHz) CPU, 16MB FLASH, and 64MB RAM onto a single device. The device then connects with a standard sensor network mote to form a camera mote. The design enables in-network processing of images to reduce communication requirements, which has traditionally been high in existing camera networks with centralized processing. We also propose a back-end client/server architecture to provide a user interface to the system and support further centralized processing for higher-level applications. Our camera mote enables a wider variety of distributed pattern recognition applications than traditional platforms because it provides more computing power and tighter integration of physical components while still consuming relatively little power. Furthermore, the mote easily integrates with existing low-bandwidth sensor networks because it can communicate over the IEEE 802.15.4 protocol with other sensor network platforms. We demonstrate our system on three applications: image compression, target tracking, and camera localization.
Keywords :
data compression; embedded systems; image coding; image sensors; personal area networks; protocols; target tracking; wireless sensor networks; CITRIC; FLASH; IEEE 802.15.4 protocol; RAM; back-end client/server architecture; camera localization; centralized processing; distributed pattern recognition applications; frequency-scalable CPU; hardware platform; image compression; in-network image processing; target tracking; user interface; wireless camera mote; wireless camera network platform; Cameras; Computer architecture; Distributed computing; Frequency; Hardware; Network servers; Pattern recognition; Process design; User interfaces; Wireless sensor networks; Camera Sensor; Embedded System; Sensor Architecture; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on
Conference_Location :
Stanford, CA
Print_ISBN :
978-1-4244-2664-5
Electronic_ISBN :
978-1-4244-2665-2
Type :
conf
DOI :
10.1109/ICDSC.2008.4635675
Filename :
4635675
Link To Document :
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