The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Survey on Contemporary Remote Surveillance Systems for Public Safety
Abstract
Surveillance systems provide the capability of collecting authentic and purposeful information and forming appropriate decisions to enhance safety. This paper reviews concisely the historical development and current state of the three different generations of contemporary surveillance systems. Recently, in addition to the employment of the incessantly enlarging variety of sensors, the inclination has been to utilize more intelligence and situation awareness capabilities to assist the human surveillance personnel. The most recent generation is decomposed into multisensor environments, video and audio surveillance, wireless sensor networks, distributed intelligence and awareness, architecture and middleware, and the utilization of mobile robots. The prominent difficulties of the contemporary surveillance systems are highlighted. These challenging dilemmas are composed of the attainment of real-time distributed architecture, awareness and intelligence, existing difficulties in video surveillance, the utilization of wireless networks, the energy efficiency of remote sensors, the location difficulties of surveillance personnel, and scalability difficulties. The paper is concluded with concise summary and the future of surveillance systems for public safety.
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Cites
A Survey on Visual Surveillance of Object Motion and Behaviors
Hu, W., Tan, T., Wang, L., & Maybank, S. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2004.829274 · Cited by 2,132
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Maddalena, L., & Petrosino, A. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.924285 · Cited by 786
Intelligent distributed surveillance systems: a review
Valera, M., & Velastin, S. A. (2005) · IEE Proceedings - Vision, Image, and Signal Processing · doi:10.1049/ip-vis:20041147 · Cited by 672
Learning to associate: HybridBoosted multi-target tracker for crowded scene
Li, Y., Huang, C., & Nevatia, R. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206735 · Cited by 633
Algorithms for cooperative multisensor surveillance
Collins, R. T., Lipton, A. J., Fujiyoshi, H., & Kanade, T. (2001) · Proceedings of the IEEE · doi:10.1109/5.959341 · Cited by 599
Distributed target classification and tracking in sensor networks
Brooks, R. R., Ramanathan, P., & Sayeed, A. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.814923 · Cited by 464
Tracking Multiple Occluding People by Localizing on Multiple Scene Planes
Khan, S. M., & Shah, M. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.102 · Cited by 324
Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking
Hampapur, A., Brown, L., Connell, J., Ekin, A., Haas, N., Lu, M., Merkl, H., & Pankanti, S. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1406476 · Cited by 318
Li, Y., Ai, H., Yamashita, T., Lao, S., & Kawade, M. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.73 · Cited by 283
Learning Semantic Scene Models From Observing Activity in Visual Surveillance
Makris, D., & Ellis, T. J. (2005) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2005.846652 · Cited by 274
Cited by
Smart Video Surveillance System Based on Edge Computing
Cob-Parro, A. C., Losada-Gutiérrez, C., Marrón-Romera, M., Gardel-Vicente, A., & Bravo-Muñoz, I. (2021) · Sensors · doi:10.3390/s21092958 · Cited by 84
Metadata
- Authors
- Räty, T. D.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 2010-09
- Volume
- 40
- Issue
- 5
- Pages
- 493-515
- ISSN
- 1094-6977 (ISSN-L)
- 1558-2442
- OpenAlex
- W2108880818
- Cited by
- 255
- References
- 47
- FWCI
- 20.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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