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ABSTRACT
Camera-based monitoring is a valuable tool for assistive environments to meet the important needs of those who may have physical or cognitive impairment. It is, however, particularly difficult to continuously monitor a moving subject in a large facility where many cameras are deployed. In this paper, we propose Sensor-Integrated Camera Surveillance (SICS) to address this problem. SICS uses wearable wireless sensors to locate moving subjects and automatically selects the camera covering the subject, allowing human operators to focus only on one screen to monitor an individual. To improve flexibility and reduce cost, SICS connects distributed cameras through a self-organizing wireless mesh network. To reduce bandwidth consumption, SICS leverages onboard image processing on the camera for selective transmission. To enable automated reasoning, SICS uses a knowledge base for efficient rule specification and execution. Through empirical evaluation, we found that the automatic camera handoff enabled by SICS was effective for continuous camera-based monitoring. We provide quantitative performance evaluation results in this paper and discuss potential extension to the SICS infrastructure.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Mike Addlesee , Rupert Curwen , Steve Hodges , Joe Newman , Pete Steggles , Andy Ward , Andy Hopper, Implementing a Sentient Computing System, Computer, v.34 n.8, p.50-56, August 2001
[doi> 10.1109/2.940013]
|
| |
2
|
A profile of older Americans: 2003. Administration on Aging, U.S. Department of Health and Human Services, 2003.
|
| |
3
|
Population pyramid summary for United States. U.S. Census Bureau, 2007.
|
| |
4
|
|
| |
5
|
Paramvir Bahl and Venkata N. Padmanabhan. 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, March 2000.
|
| |
6
|
Networking/IP to drive video surveillance market growth. iSuppli Market Analysis Report, March 2007.
|
| |
7
|
J. Chen, K. Kwong, D. Chang, J. Luk, and R. Bajcsy. Wearable sensors for reliable fall detection. In Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society, pages 3551--3554, 2005.
|
 |
8
|
Wu-chi Feng , Brian Code , Ed Kaiser , Mike Shea , Wu-chang Feng , Louis Bavoil, Panoptes: scalable low-power video sensor networking technologies, Proceedings of the eleventh ACM international conference on Multimedia, November 02-08, 2003, Berkeley, CA, USA
[doi> 10.1145/957013.957132]
|
| |
9
|
|
| |
10
|
Ekahau realtime location system. Ekahau, Inc.
|
| |
11
|
|
| |
12
|
Martin Gill, Ross Little, Angela Spriggs, Jenna Allen, Javier Argomaniz, and Sam Waples. Assessing the impact of CCTV: The Hawkeye case study. Home Office Online Report, December 2005.
|
| |
13
|
Piyush Gupta and P. R. Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2):388--404, March 2000.
|
 |
14
|
Andreas Haeberlen , Eliot Flannery , Andrew M. Ladd , Algis Rudys , Dan S. Wallach , Lydia E. Kavraki, Practical robust localization over large-scale 802.11 wireless networks, Proceedings of the 10th annual international conference on Mobile computing and networking, September 26-October 01, 2004, Philadelphia, PA, USA
[doi> 10.1145/1023720.1023728]
|
| |
15
|
A. Hampapur, L. Brown, J. Connell, S. Pankanti, A. Senior, and Y. Tian. 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, pages 1133--1138, Singapore, December 2003.
|
| |
16
|
A. Keshavarz, A. Maleki-Tabar, and H. Aghajan. Distributed vision-based reasoning for smart home care. In Proceedings of the ACM SenSys Workshop on Distributed Smart Cameras, 2006.
|
 |
17
|
|
 |
18
|
|
| |
19
|
|
| |
20
|
|
| |
21
|
|
| |
22
|
David Malan, Thaddeus Fulford-Jones, Matt Welsh, and Steve Moulton. CodeBlue: An ad hoc sensor network infrastructure for emergency medical care. In Proceedings of the Workshop on Wearable and Implantable Body Sensor Networks, April 2004.
|
| |
23
|
|
| |
24
|
RFID-assisted localization and communication for first responders. NIST.
|
| |
25
|
|
| |
26
|
M. E. Pollack. Intelligent technology for an aging population: The use of AI to assist elders with cognitive impairment. AI Magazine, 26(2):9--24, 2005.
|
 |
27
|
|
 |
28
|
Mohammad Rahimi , Rick Baer , Obimdinachi I. Iroezi , Juan C. Garcia , Jay Warrior , Deborah Estrin , Mani Srivastava, Cyclops: in situ image sensing and interpretation in wireless sensor networks, Proceedings of the 3rd international conference on Embedded networked sensor systems, November 02-04, 2005, San Diego, California, USA
[doi> 10.1145/1098918.1098939]
|
| |
29
|
K. N. Ramachandran, E. M. Belding-Royer, and K. C. Almeroth. 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, pages 601--609, Santa Clara, CA, October 2004.
|
| |
30
|
A. Raniwala and Chiueh Tzi-cker. 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, pages 2223--2234, Miami, FL, March 2005.
|
| |
31
|
Yong Sheng, Guanling Chen, Keren Tan, Udayan Deshpande, Bennet Vance, Hongda Yin, Chris McDonald, Tristan Henderson, David Kotz, Andrew Campbell, and Joshua Wright. MAP: A scalable monitoring system for dependable 802.11 wireless networks. IEEE Wireless Communications, April 2008. Accepted.
|
| |
32
|
VISion: Enterprise locating solution. Versus Technology, Inc.
|
 |
33
|
|
|