Urban surveillance systems: from the laboratory to the commercial world
- 1 October 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 89 (10) , 1478-1497
- https://doi.org/10.1109/5.959342
Abstract
Research in the surveillance domain was confined for years in the military domain. Recently, as military spending for this kind of research was reduced and the technology matured, the attention of the research and development community turned to commercial applications of surveillance. In this paper we describe a state-of-the-art monitoring system developed by a corporate R&D lab in cooperation with the corresponding security business units. It represents a sizable effort to transfer some of the best results produced by computer vision research into a viable commercial product. Our description spans both practical and technical issues. From the practical point of view we analyze the state of the commercial security market, typical cultural differences between the research team and the business team and the perspective of the potential users of the technology. These are important issues that have to be dealt with or the surveillance technology will remain in the lab for a long time. From the technical point of view we analyze our algorithmic and implementation choices. We describe the improvements we introduced to the original algorithms reported in the literature in response to some problems that arose during field testing. We also provide extensive experimental results that highlight the strong points and some weaknesses of the prototype system.Keywords
This publication has 15 references indexed in Scilit:
- Adaptive background mixture models for real-time trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Error analysis of background adaptionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Algorithms for cooperative multisensor surveillanceProceedings of the IEEE, 2001
- Monitoring activities from multiple video streams: establishing a common coordinate framePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Learning patterns of activity using real-time trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Real-time video-shot detection for scene surveillance applicationsIEEE Transactions on Image Processing, 2000
- A distributed surveillance system for detection of abandoned objects in unmanned railway environmentsIEEE Transactions on Vehicular Technology, 2000
- An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Learning classification treesStatistics and Computing, 1992
- An algorithm for tracking multiple targetsIEEE Transactions on Automatic Control, 1979