Intelligent distributed surveillance systems: a review
Intelligent distributed surveillance systems: a review
- Author(s): M. Valera and S.A. Velastin
- DOI: 10.1049/ip-vis:20041147
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): M. Valera 1 and S.A. Velastin 1
-
-
View affiliations
-
Affiliations:
1: Digital Imaging Research Centre, School of Computing & Information Systems, Kingston University, UK
-
Affiliations:
1: Digital Imaging Research Centre, School of Computing & Information Systems, Kingston University, UK
- Source:
Volume 152, Issue 2,
April 2005,
p.
192 – 204
DOI: 10.1049/ip-vis:20041147 , Print ISSN 1350-245X, Online ISSN 1359-7108
This survey describes the current state-of-the-art in the development of automated visual surveillance systems so as to provide researchers in the field with a summary of progress achieved to date and to identify areas where further research is needed. The ability to recognise objects and humans, to describe their actions and interactions from information acquired by sensors is essential for automated visual surveillance. The increasing need for intelligent visual surveillance in commercial, law enforcement and military applications makes automated visual surveillance systems one of the main current application domains in computer vision. The emphasis of this review is on discussion of the creation of intelligent distributed automated surveillance systems. The survey concludes with a discussion of possible future directions.
Inspec keywords: surveillance; reviews; television applications; image recognition; closed circuit television; video signal processing
Other keywords:
Subjects: Image recognition; Computer vision and image processing techniques; Video signal processing; Other applications of television and video systems; Closed circuit television
References
-
-
1)
- N. Ronetti , C. Dambra , G.L. Foresti , P. Mahonen , C.S. Regazzoni . (2000) Railway station surveillance: the Italian case, Multimedia Video Based Surveillance Systems.
-
2)
- IEEE conference on Advanced Video and Signal Based Surveillance, July 2003.
-
3)
- www.nice.com.
-
4)
- Krumm, J., Harris, S., Meyers, B., Brumit, B., Hale, M., Shafer, S.: `Multi-camera multi-person tracking for easy living', Third IEEE Int. Workshop on Visual Surveillance, Ireland, 2000, p. 8–11.
-
5)
- Yuan, X., Sun, Z., Varol, Y., Bebis, G.: `A distributed visual surveillance system', IEEE Conf. on Advanced Video and Signal based Surveillance, Florida, 2003, p. 199–205.
-
6)
- Rota, N., Thonnat, M.: `Video sequence interpretation for visual surveillance', 3rd IEEE Int. Workshop on Visual Surveillance, Dublin, 2000, p. 59–68.
-
7)
- MaKris, D., Ellis, T., Black, J.: `Bridging the gaps between cameras', Int. Conf. Multimedia and Expo, Taiwan, June 2004.
-
8)
- Owens, J., Hunter, A.: `Application of the self-organising map to trajectory classification', 3rd IEEE Int. Workshop on Visual Surveillance, Dublin, 2000, p. 77–85.
-
9)
- Special issue on visual surveillance . IEEE Trans. Pattern Anal. Mach. Intell.. IEEE Trans. Pattern Anal. Mach. Intell.
-
10)
- Orwell, J., Remagnino, P., Jones, G.A.: `Multicamera color tracking', 2nd IEEE Workshop on Visual Surveillance, Colorado, 1999, p. 14–22.
-
11)
- Special issue on human motion analysis . Comput. Vis. Image Underst.. Comput. Vis. Image Underst.
-
12)
- I. Paulidis , V. Morellas , P. Remagnino , G.A. Jones , N. Paragios , C.S. Regazzoni . (2002) Two examples of indoor and outdoor surveillance systems, Video-based Surveillance Systems.
-
13)
- Oren, M., Papageorgiou, C., Osuna, E., Poggio, T.: `Pedestrian detection using wavelet templates', Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Puerto Rico, 1997, p. 193–199.
-
14)
- I. Pavlidis , V. Morellas , P. Tsiamyrtzis , S. Harp . Urban surveillance systems: from the laboratory to the commercial world. Proc. IEEE , 10 , 1478 - 1495
-
15)
- www.ipsotek.com.
-
16)
- H. Hai Bui , S. Venkatesh , G.A.W. West . Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model. Int. J Pattern Recognit. Anal. Intell. , 1 , 177 - 195
-
17)
- Norhashimah, P., Jiang, J.: `Video extraction in compressed domain', IEEE Conf. on Advanced Video and Signal Based Surveillance, Florida, 2003, p. 321–327.
-
18)
- http://www.detec.no.
-
19)
- C. Wren , A. Azarbayejani , T. Darrell , A. Pentland . Pfinder: real-time tracking of the human body. IEEE Trans. Pattern Anal. Mach. Intell. , 7 , 780 - 785
-
20)
- Liu, L.C., Chien, J.-C., Chuang, H., Li, C.C.: `A frame-level FSBM motion estimation architecture with large search range', IEEE Conf. on Advanced Video and Signal Based Surveillance, Florida, 2003, p. 327–334.
-
21)
- Ivanov, Y., Stauffer, C., Bobick, A., Grimson, W.E.L.: `Video surveillance of interactions', 2nd IEEE Int. Workshop on Visual Surveillance, Colorado, 1999, p. 82–91.
-
22)
- First IEEE Workshop on Visual Surveillance, January 1998, Bombay, India.
-
23)
- www.neurodynamics.com.
-
24)
- http://dilnxsvr.king.ac.uk/cromatica/.
-
25)
- S. Arulampalam , S. Maskell , N. Gordon , T. Clapp . A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Process. , 2 , 174 - 188
-
26)
- B. Ping Lai Lo , J. Sun , S.A. Velastin . Fusing visual and audio information in a distributed intelligent surveillance system for public transport systems. Acta Automatica Sinica , 3 , 393 - 407
-
27)
- Collins, R.T., Lipton, A.J., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt P., and Wixson L.: ‘A system for video surveillance and monitoring’. Robotics Institute, Carnegie Mellon University, 2000, pp. 1–68.
-
28)
- Ng, K.C., Ishiguro, H., Trivedi, M., Sogo, T.: `Monitoring dynamically changing environments by ubiquitous vision system', 2nd IEEE Workshop on Visual Surveillance, Colorado, 1999, p. 67–74.
-
29)
- L. Marchesotti , A. Messina , L. Marcenaro , C.S. Regazzoni . A cooperative multisensor system for face detection in video surveillance applications. Acta Automatica Sinica , 3 , 423 - 433
-
30)
- Valera, M., Velastin, S.A.: `An approach for designing a real-time intelligent distributed surveillance system', Proc. of the IEE Workshop on Intelligent Distributed Surveillance Systems, London, 2003, p. 42–48.
-
31)
- Christensen, M., and Alblas, R.: ‘V2- design issues in distributed video surveillance systems’, Demark, 2000, pp. 1–86.
-
32)
- Stringa, E., Regazzoni, C.S.: `Content-based retrieval and real-time detection from video sequences acquired by surveillance systems', Int. Conf. on Image Processing, Chicago, 1998, p. 138–142.
-
33)
- M. Matijasevic , D. Gracanin , K.P. Valavanis , I. Lovrek . A framework for multiuser distributed virtual environments. IEEE Trans. Syst. Man Cybern. , 4 , 416 - 429
-
34)
- Hemayed, E.E.: `A survey of self-camera calibration', Proc. of the IEEE Conf. on Advanced Video and Signal based Surveillance, Florida, 2003, p. 351–358.
-
35)
- Rath, T.M., Manmatha, R.: `Features for word spotting in historical manuscripts', Proc. of the 7th Int. Conf. on Document Analysis and Recognition, 2003, p. 512–527.
-
36)
- Liu, L.-C., Chien, J.-C., Chuang, H., Li, C.C.: `A frame-level FSBM motion estimation architecture with large search range', IEEE Conf. on Advanced Video and Signal based Surveillance, Florida, 2003, p. 327–334.
-
37)
- L. Almeida , P. Pedreiras , J. Alberto , G. Fonseca . The FFT-CAN protocol: why and how. IEEE Trans. Ind. Electron. , 6 , 1189 - 1201
-
38)
- www.sensis.com/docs/128.
-
39)
- Haritaoglu, I., Harwood, D., Davis, L.S.: `Hydra: multiple people detection and tracking using silhouettes', Proc. IEEE Int. Workshop Visual Surveillance, 1999, p. 6–14.
-
40)
- C.-H. Wu , J.D. Irwin , F.F. Dai . Enabling multimedia applications for factory automation. IEEE Trans. on Ind. Electron. , 5 , 913 - 919
-
41)
- A. Pozzobon , G. Sciutto , V. Recagno , C.S. Regazzoni , G. Fabri , G. Vernazza . (1998) Security in ports: the user requirements for surveillance system, Advanced Video-based Surveillance Systems.
-
42)
- C. Nwagboso , C.S. Regazzoni , G. Fabri , G. Vernazza . (1998) User focused surveillance systems integration for intelligent transport systems, Advanced Video-based Surveillance Systems.
-
43)
- Remagnino, P., Baumberg, A., Grove, T., Hogg, D., Tan, T., Worral, A., Baker, K.: `An integrated traffic and pedestrian model-based vision system', BMVC97 Proc., p. 380–389Israel, .
-
44)
- Cucchiara, R., Grana, C., Patri, A., Tardini, G., Vezzani, R.: `Using computer vision techniques for dangerous situation detection in domotic applications', Proc. IEE Workshop on Intelligent Distributed Surveillance Systems, London, 2004, p. 1–5.
-
45)
- Collins, R.T., Lipton, A.J., Fujiyoshi, H., Kanade, T.: `Algorithms for cooperative multisensor surveillance', Proc. IEEE, 89, (10), 2001, p. 1456–1475.
-
46)
- Garcia, L.M., Grupen, R.A.: `Towards a real-time framework for visual monitoring tasks', 3rd IEEE Int. Workshop on Visual Surveillance, Ireland, 2000, p. 47–56.
-
47)
- N.T. Nguyen , S. Venkatesh , G. West , H.H. Bui . Multiple camera coordination in a surveillance system. Acta Automatica Sinica , 3 , 408 - 421
-
48)
- L. Jian-Guang , L. Qi-Feing , T. Tie-Niu , H. Wei-Ming . 3-D model based visual traffic surveillance. Acta Automatica Sinica , 3 , 434 - 449
-
49)
- Special issue on third generation surveillance systems . Proc. IEEE. Proc. IEEE
-
50)
- Y.A. Ivanov , A.F. Bobick , J. Liu . Fast lighting independent background. Int. J. Comput. Vis. , 2 , 199 - 207
-
51)
- Huang, J., Krasic, C., Walpole, J., Feng, W.: `Adaptive live video streaming by priority drop', IEEE Conf. on Advanced Video and Signal Based Surveillance, Florida, 2003, p. 342–348.
-
52)
- P.E. Rybski , S.A. Stoeter , M. Gini , D.F. Hougen , N.P. Papanikolopoulos . Performance of a distributed robotic system using shared communications channels. IEEE Trans. Robot. Autom. , 5 , 713 - 727
-
53)
- Second IEE Workshop on Intelligent Distributed Surveillance Systems, February 2004, London.
-
54)
- R. Pless , T. Brodsky , Y. Aloimonos . Detecting independent motion: the statics of temporal continuity. IEEE Trans. Pattern Anal. Mach. Intell. , 768 - 773
-
55)
- Velastin, S.A.: ‘Getting the best use out of CCTV in the railways’. Rail Safety and Standards Board, July 2003, pp. 1–17.
-
56)
- Beymer, D., McLauchlan, P., Coifman, B., Malik, J.: `A real-time computer vision system for measuring traffic parameters', Proc. 1997 Conf. on Computer Vision and Pattern Recognition, IEEE Computer Society, p. 495–502.
-
57)
- P. Castelpietra , Y-Q. Song , F.S. Lion , M. Attia . Analysis and simulation methods for performance evaluation of a multiple networked embedded architecture. IEEE Trans. Ind. Electron. , 6 , 1251 - 1264
-
58)
- Second IEEE Workshop on Visual Surveillance, January 1999, Fort Collins, Colorado.
-
59)
- Xu, M., Lowey, L., Orwell, J.: `Architecture and algorithms for tracking football players with multiple cameras', Proc. IEE Workshop on Intelligent Distributed Surveillance Systems, London, 2004, p. 51–56.
-
60)
- Heikkila, J., Silven, O.: `A real-time system for monitoring of cyclists and pedestrians.', 2nd IEEE Int. Workshop on Visual Surveillance, Colorado, 1999, p. 74–81.
-
61)
- Third IEEE International Workshop on Visual Surveillance (VS'2000), July 2000, Dublin, Ireland.
-
62)
- www.pi-vision.com.
-
63)
- C. Stauffer , W. Eric , L. Grimson . Learning patterns of activity using real-time tracking. IEEE Trans. Pattern Anal. and Mach. Intell. , 8 , 747 - 757
-
64)
- First IEE Workshop on Intelligent Distributed Surveillance Systems, February 2003, London.
-
65)
- I. Haritaoglu , D. Hartwood , L.S. Davis . Real-time surveillance of people and their activities. IEEE Trans. Pattern Anal. Mach. Intell. , 809 - 830
-
66)
- Bennewitz, M., Burgard, W., Thrun, S.: `Using EM to learn motion behaviours of persons with mobile robots', Proc. Conf. on Intelligent Robots and Systems (IROS), Switzerland, 2002.
-
67)
- Y. Ivanov , A. Bobick . Recognition of visual activities and interaction by stochastic parsing. IEEE Trans. Pattern Recognit. Mach. Intell. , 8 , 852 - 872
-
68)
- Black, J., Ellis, T., Rosin, P.: `A novel method for video tracking performance evaluation', The Joint IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, October, France, 2003, p. 125–132.
-
69)
- L. Marcenaro , F. Oberti , G.L. Foresti , C.S. Regazzoni . Distributed architectures and logical-task decomposition in Multimedia surveillance systems. Proc. IEEE , 10 , 1419 - 1438
-
70)
- D.M. Gavrila . The visual analysis of human movement: a survey. Comput. Vis. Image. Underst. , 1 , 82 - 98
-
71)
- Gong, S., Xiang, T.: `Recognition of group activities using dynamic probabilistic networks', 9th IEEE Int. Conf. on Computer Vision, France, 2003, 2, p. 742–750.
-
72)
- J.M. Ferryman , S.J. Maybank , A.D. Worrall . Visual surveillance for moving vehicles. Int. J. Comput. Vis. , 2 , 187 - 197
-
73)
- Oates, T., Schmill, M.D., Cohen, P.R.: `A method for clustering the experiences of a mobile robot with human judgements', Proc. of the 17th National Conf. on Artificial Intelligence and Twelfth Conf. on Innovative Applications of Artificial Intelligence, AAAI Press, 2000, p. 846–851.
-
74)
- T.E. Boult , R.J. Micheals , X. Gao , M. Eckmann . Into the woods: visual surveillance of non-cooperative and camouflaged targets in complex outdoor settings. Proc. IEEE , 1 , 1382 - 1401
-
75)
- Darrell, T., Gordon, G., Woodfill, J., Baker, H., Harville, M.: `Robust real-time people tracking in open environments using integrated stereo, color, and face detection', 3rd IEEE workshop on visual surveillance, India, 1998, p. 26–33.
-
76)
- Micheloni, C., Foresti, G.L., Snidaro, L.: `A co-operative multi-camera system for video-surveillance of parking lots', Intelligent Distributed Surveillance Systems Symp. by the IEE, London, 2003, p. 21–24.
-
77)
- Nguyen, N.T., Bui, H.H., Venkatesh, S., West, G.: `Recognising and monitoring high-level behaviour in complex spatial environments', IEEE Int. Conf. on Computer Vision and Pattern Recognition, Wisconsin, 2003, p. 1–6.
-
78)
- Snidaro, L., Niu, R., Varshney, P.K., Foresti, G.L.: `Automatic camera selection and fusion for outdoor surveillance under changing weather conditions', IEEE Conf. on Advanced Video and Signal based Surveillance, Florida, 2003, p. 364–370.
-
79)
- M. Pellegrini , P. Tonani , C.S. Regazzoni , G. Fabri , G. Vernazza . (1998) Highway traffic monitoring, Advanced Video-based Surveillance Systems.
-
80)
- H. Ye , G.C. Walsh , L.G. Bushnell . Real-time mixed-traffic wireless networks. IEEE Trans. on Ind. Electron. , 5 , 883 - 890
-
81)
- P. Avis . Surveillance and Canadian maritime domestic security. Canad. Military J. , 9 - 15
-
82)
- secure30.softcomca.com/fge_biz.
-
83)
- D. Greenhill , P. Remagnino , G.A. Jones , P. Remagnino , G.A. Jones , N. Paragios , C.S. Regazzoni . (2002) VIGILANT: content-querying of video surveillance streams, Video-based Surveillance Systems.
-
84)
- ADVISOR specification documents (internal classification 2001).
-
85)
- Special issue on visual surveillance . Int. J. Comput. Vis.. Int. J. Comput. Vis.
-
86)
- F. Soldatini , P. Mähönen , M. Saaranen , C.S. Regazzoni , G.L. Foresti , P. Mahonen , C.S. Regazzoni . (2000) Network management within an architecture for distributed hierarchical digital surveillance systems, Multimedia video based surveillance systems.
-
87)
- www.cieffe.com.
-
88)
- T. Brodsky , R. Cohen , E. Cohen-Solal , S. Gutta , D. Lyons , V. Philomin , M. Trajkovic . (2001) Visual surveillance in retail stores and in the home, Advanced Video-based Surveillance Systems.
-
89)
- Z. Geradts , J. Bijhold , G.L. Foresti , P. Mahonen , C.S. Regazzoni . (2000) Forensic video investigation, Multimedia video based surveillance systems.
-
90)
- M. Conti , L. Donatiello , M. Furini . Design and analysis of RT-ring: a protocol for supporting real-time communications. IEEE Trans. on Ind. Electron. , 6 , 1214 - 1226
-
91)
- www.objectvideo.com.
-
92)
- Batista, J., Peixoto, P., Araujo, H.: `Real-time active visual surveillance by integrating', Workshop on Visual Surveillance, India, 1998, p. 18–26.
-
93)
- L.E. Jackson , G.N. Rouskas . Deterministic preemptive scheduling of real-time tasks. Computer, IEEE , 5 , 72 - 79
-
94)
- Decleir, C., Hacid, M.-S., Koulourndijan, J.: `A database approach for modelling and querying video data', Proc. 15th Int. Conf. on Data Engineering, Australia, 1999, p. 1–22.
-
95)
- Saad, A., Smith, D.: `An IEEE 1394-firewire-based embedded video system for surveillance applications', IEEE Conf. on Advanced Video and Signal based Surveillance, Florida, 2003, p. 213–219.
-
96)
- M. Greiffenhagen , D. Comaniciu , H. Niemann , V. Ramesh . Design, analysis, and engineering of video monitoring systems: an approach and a case study. Proc. IEEE , 10 , 1498 - 1517
-
97)
- Jaynes, C.: `Multi-view calibration from planar motion for video surveillance', 2nd IEEE Int. Workshop on Visual Surveillance, 1999, Colorado, p. 59–67.
-
98)
- C.S. Regazzoni , V. Ramesh , G.L. Foresti . Special issue on video communications, processing, and understanding for third generation surveillance systems. Proc. IEEE , 10 , 1355 - 1365
-
99)
- Z. Zhi-Hong . Lane detection and car tracking on the highway. Acta Automatica Sinica , 3 , 450 - 456
-
100)
- http://www.gotchanow.com.
-
101)
- Buxton, H.: `Generative models for learning and understanding scene activity', Proc. 1st Int. Workshop on Generative Model-Based Vision, Copenhagen, 2002, p. 71–81.
-
102)
- M.E. Weber , M.L. Stone . Low altitude wind shear detection using airport surveillance radars. IEEE Aerosp. Electron. Syst. Mag. , 6 , 3 - 9
-
1)