Abstract
Camera-based surveillance system is an important tool for assistive environment to monitor those who may have physical or cognitive impairment. It is, however, expensive to deploy a wired surveillance system and difficult to continuously monitor a moving subject in a large facility where many cameras are deployed. In this paper, we first evaluate the performance of streaming camera images over wireless networks in both residential and office environments and present the quantitative results to show the feasibility of using wireless backbones for camera surveillance systems. We then propose sensor-integrated camera surveillance (SICS) to address the continuous monitoring problem. SICS uses wearable wireless sensors to locate moving subjects and automatically selects the camera covering the subject, allowing human operators to focus on only one screen to monitor an individual. SICS uses a self-organizing wireless mesh network to allow flexible deployment at reduced cost. An on-board image-processing algorithm is used to reduce the bandwidth consumption. Through empirical evaluation, we found that the automatic camera hand-off enabled by SICS was effective for continuous camera monitoring and a sophisticated wireless network management system is required to deploy the SICS in practice.














Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Population pyramid summary for United States (2007) US Census Bureau
A profile of older Americans (2007) Administration on aging, US Department of Health and Human Services. http://www.agingcarefl.org/aging/AOA-2007profile.pdf
Pollack ME (2005) Intelligent technology for an aging population: The use of ai to assist elders with cognitive impairment. AI Magazine 26(2):9–24
iSuppli Market Analysis Report (2007) Networking/ip to drive video surveillance market growth. http://semiconductors.tekrati.com/research/8608/
Gill M, Little R, Spriggs A, Allen J, Argomaniz J, Waples S (2005) Assessing the impact of CCTV: the Hawkeye case study. Home Office Online Report. http://www.homeoffice.gov.uk/rds/pdfs05/rdsolr1205.pdf
Pahlavan K, Krishnamurthy P (2001) Principles of wireless networks: a unified approach. Prentice Hall PTR, Upper Saddle River, NJ, USA
RFID-assisted localization and communication for first responders. NIST. http://www.antd.nist.gov/wctg/RFID/RFIDassist.htm
VISion: Enterprise locating solution. Versus Technology, Inc. http://versustech.com/
Ekahau realtime location system. Ekahau, Inc. http://www.ekahau.com/
Addlesee M, Curwen R, Hodges S, Newman J, Steggles P, Ward A, Hopper A (2001) Implementing a sentient computing system. IEEE Comput 34(8):http://www.cl.cam.ac.uk/Research/DTG/attarchive/abstracts.html
Malan D, Fulford-Jones T, Welsh M, Moulton S (2004) CodeBlue: an ad hoc sensor network infrastructure for emergency medical care. In: Proceedings of the international workshop on wearable and implantable body sensor networks. http://www.eecs.harvard.edu/mdw/papers/codeblue-bsn04.pdf
Papagiannaki K, Yarvis MD, Conner WS (2006) Experimental characterization of home wireless networks and design implications. In: Proceedings of IEEE INFOCOM. http://dblp.uni-trier.de/db/conf/infocom/infocom2006.html
Das SM, Koutsonikolas D, Hu YC (2008) Measurement-based characterization of a wireless mesh network. In: Handbook of wireless mesh and sensor networking. McGraw-Hill International. http://www.ece.purdue.edu/ychu/publications/bookchapter07.pdf
Sheng Y, Chen G, Tan K, Deshpande U, Vance B, Yin H, McDonald C, Henderson T, Kotz D, Campbell A, Wright J (2008) MAP: ascalable monitoring system for dependable 802.11 wireless networks. IEEE wireless communications, special issue on dependability issues with ubiquitous wireless access. http://www.cs.uml.edu/glchen/papers/map-ieeewc08.pdf
Cheng YC, Bellardo J, Benkö P, Snoeren AC, Voelker GM, Savage S (2006) Jigsaw: solving the puzzle of enterprise 802.11 analysis. In: Proceedings of the 2006 ACM conference on applications, technologies, architectures, and protocols for computer communications. Pisa, Italy, pp 39–50. doi:10.1145/1159913.1159920
Rahimi M, Baer R, Iroezi OI, Garcia JC, Warrior J, Estrin D, Srivastava M (2005) Cyclops: in situ image sensing and interpretation in wireless sensor networks. In: SenSys ’05: proceedings of the 3rd international conference on Embedded networked sensor systems. ACM, New York, NY, USA, pp 192–204. doi:10.1145/1098918.1098939
Lymberopoulos D, Savvides A (2005) XYZ: a motion-enabled, power aware sensor node platform for distributed sensor network applications. In: Proceedings of the fourth international symposium on information processing in sensor networks. Los Angeles, CA, pp 449–454. http://ieeexplore.ieee.org/iel5/9840/31018/01440970.pdf
chi Feng W, Code B, Kaiser E, Shea M, chang Feng W, Bavoil L (2003) Panoptes: scalable low-power video sensor networking technologies. In: Proceedings of the eleventh ACM international conference on multimedia, Berkeley, CA, pp 562–571. doi:10.1145/957013.957132
Kulkarni P, Ganesan D, Shenoy P, Lu Q (2005) Senseye: a multi-tier camera sensor network. In: MULTIMEDIA ’05: proceedings of the 13th annual ACM international conference on multimedia. ACM, New York, pp 229–238. doi:10.1145/1101149.1101191
Hampapur A, Brown L, Connell J, Pankanti S, Senior A, Tian Y (2003) Smart surveillance: applications, technologies and implications. In: Proceedings of the joint conference of the 4th international conference on information, communications and signal processing, and the 4th pacific rim conference on multimedia, Singapore, pp 1133–1138. http://ieeexplore.ieee.org/iel5/9074/28789/01292637.pdf
Licandro F, Schembra G (2007) Wireless mesh networks to support video surveillance: architecture, protocol, and implementation issues. EURASIP J Wireless Commun Network 2007(1). doi:10.1155/2007/31976
Akella A., Judd G., Seshan S., Steenkiste P (2005) Self-management in chaotic wireless deployments. In: Proceedings of the 11th annual international conference on mobile computing and networking. Cologne, Germany, pp 185–199. doi:10.1145/1080829.1080849
Capacity, coverage, and deployment considerations in IEEE 802.11g (2003) White Paper, Cisco Systems
Kodialam M, Nandagopal T (2005) Characterizing the capacity region in multi-radio multi-channel wireless mesh networks. In: MobiCom ’05: proceedings of the 11th annual international conference on Mobile computing and networking. ACM, New York, pp 73–87. doi:10.1145/1080829.1080837
Raniwala A, Chiueh TC (2005) Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network. In: Proceedings of the 24th annual joint conference of the IEEE computer and communications societies (INFOCOM), pp 2223–2234. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1498497
Bahl P, Padmanabhan VN (2000) RADAR: An in-building RF-based user location and tracking system. In: Proceedings of the 19th annual joint conference of the IEEE computer and communications societies. Tel Aviv, Israel. http://www.ieee-infocom.org/2000/papers/589.pdf
Haeberlen A, Flannery E, Ladd AM, Rudys A, Wallach DS, Kavraki LE (2004) Practical robust localization over large-scale 802.11 wireless networks. In: Proceedings of the tenth annual international conference on mobile computing and networking, Philadelphia, PA, pp 70–84. doi:10.1145/1023720.1023728
Lorincz K, Welsh M (2007) Motetrack: a robust, decentralized approach to rf-based location tracking. Person Ubiquit Comput. doi:10.1007/s00779-006-0095-2
Riley MJ, Richardson IEG (1997) Digital video communications. Artech House, Inc., Norwood, MA
IEEE (2003) Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE Standard 802.11-1997
Gupta P, Kumar PR (2000) The capacity of wireless networks. IEEE Trans Inform Theory 46(2):388–404
Kyasanur P, Vaidya NH (2005) Capacity of multi-channel wireless networks: impact of number of channels and interfaces. In: Proceedings of the 11th annual international conference on mobile computing and networking. Cologne, Germany, pp 43–57. doi:10.1145/1080829.1080835
Ramachandran K, Belding-Royer E, Almeroth K (2004) DAMON: A distributed architecture for monitoring multi-hop mobile networks. In: Proceedings of the 1st IEEE international conference on sensor and Ad Hoc communications and networks. Santa Clara, CA, pp 601–609. http://ieeexplore.ieee.org/iel5/9491/30129/01381963.pdf
Nanda S, Kotz D (2008) Mesh-Mon: a multi-radio mesh monitoring and management system. Comput Commun 31(8):1588–1601. doi:10.1016/j.comcom.2008.01.046
Qiu L, Bahl P, Rao A, Zhou L (2006) Troubleshooting wireless mesh networks. ACM SIGCOMM Comput Commun Rev 36(5):17–28. doi:10.1145/1163593.1163597
Havas M (2007) Analysis of health and environmental effects of proposed san francisco earthlink wi-fi network
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, N., Yan, B., Chen, G. et al. Design and implementation of a sensor-based wireless camera system for continuous monitoring in assistive environments. Pers Ubiquit Comput 14, 499–510 (2010). https://doi.org/10.1007/s00779-009-0271-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00779-009-0271-2