17.1.4.5.1 Camera Networks for Surveillance

Chapter Contents (Back)
Surveillance. Camera Networks.
See also Hardware, Sensor and Camera Arrangements for Surveillance Systems.

Micheloni, C., Foresti, G.L., Snidaro, L.,
A network of co-operative cameras for visual surveillance,
VISP(152), No. 2, April 2005, pp. 205-212.
DOI Link 0510
BibRef

Micheloni, C.[Christian], Lestuzzi, M.[Marco], Foresti, G.L.[Gian Luca],
Adaptive video communication for an intelligent distributed system: Tuning sensors parameters for surveillance purposes,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI 0810

See also On-line trajectory clustering for anomalous events detection. BibRef

Piciarelli, C.[Claudio], Micheloni, C.[Christian],
Outdoor Environment Monitoring with Unmanned Aerial Vehicles,
CIAP13(II:279-287).
Springer DOI 1309
BibRef

Martinel, N.[Niki], Micheloni, C.[Christian], Piciarelli, C.[Claudio], Foresti, G.L.,
Camera Selection for Adaptive Human-Computer Interface,
SMCS(44), No. 5, May 2014, pp. 653-664.
IEEE DOI 1405
BibRef
Earlier: A1, A2, A3, Only:
Pre-emptive Camera Activation for Video-Surveillance HCI,
CIAP11(II: 189-198).
Springer DOI 1109
cameras BibRef

Micheloni, C.[Christian], Rinner, B.[Bernhard], Foresti, G.L.[Gian Luca],
Video Analysis in Pan-Tilt-Zoom Camera Networks,
SPMag(27), No. 5, 2010, pp. 78-90.
IEEE DOI 1003
BibRef

Snidaro, L., Niu, R., Foresti, G.L., Varshney, P.K.,
Quality-Based Fusion of Multiple Video Sensors for Video Surveillance,
SMC-B(37), No. 4, August 2007, pp. 1044-1051.
IEEE DOI 0707
BibRef
Earlier: A1, A2, A4, A3:
Automatic camera selection and fusion for outdoor surveillance under changing weather conditions,
AVSBS03(364-369).
IEEE DOI 0310
BibRef

Snidaro, L., Piciarelli, C., Foresti, G.L.,
Activity Analysis for Video Security Systems,
ICIP06(1753-1756).
IEEE DOI 0610
BibRef
Earlier: A2, A3, A1:
Trajectory clustering and its applications for video surveillance,
AVSBS05(40-45).
IEEE DOI 0602
BibRef

Snidaro, L., Foresti, G.L.,
A Multi-Camera Approach to Sensor Evaluation in Video Surveillance,
ICIP05(I: 1101-1104).
IEEE DOI 0512
BibRef
Earlier: A2, A1:
A distributed sensor network for video surveillace of outdoor enviroments,
ICIP02(I: 525-528).
IEEE DOI 0210
BibRef

Snidaro, L.[Lauro], Belluz, M.[Massimo], Foresti, G.L.[Gian Luca],
Modelling and Managing Domain Context for Automatic Surveillance Systems,
AVSBS09(238-243).
IEEE DOI 0909
BibRef

Pavlidis, I.[Ioannis], Morellas, V.[Vassilios],
Cooperative camera network,
US_Patent7,149,325, December 12, 2006.
WWW Link. BibRef 0612

Wren, C.R.[Christopher R.], Minnen, D.C.[David C.], Rao, S.G.[Srinivasa G.],
Similarity-based analysis for large networks of ultra-low resolution sensors,
PR(39), No. 10, October 2006, pp. 1918-1931.
Elsevier DOI 0606
Sensor networks; Context; Localization; Behavior; Similarity BibRef

Gu, Y.Y.[Yao-Yao], Tian, Y.[Yuan], Ekici, E.[Eylem],
Real-time multimedia processing in video sensor networks,
SP:IC(22), No. 3, March 2007, pp. 237-251.
Elsevier DOI 0704
Video sensor networks; Real-time multimedia processing; Energy efficiency BibRef

Nath, S.[Suman], Liu, J.[Jie], Zhao, F.[Feng],
SensorMap for Wide-Area Sensor Webs,
Computer(40), No. 7, July 2007, pp. 90-93.
IEEE DOI 0707
BibRef

Qureshi, F.Z.[Faisal Z.], Terzopoulos, D.[Demetri],
Smart Camera Networks in Virtual Reality,
PIEEE(96), No. 10, October 2008, pp. 1640-1656.
IEEE DOI 0811
BibRef
And:
Multi-camera Control through Constraint Satisfaction for Persistent Surveillance,
AVSBS08(211-218).
IEEE DOI 0809
BibRef
Earlier: ICDSC07(87-94).
IEEE DOI 0709
BibRef
And:
Surveillance in Virtual Reality: System Design and Multi-Camera Control,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Surveillance camera scheduling: a virtual vision approach,
VSSN05(131-140).
WWW Link. 0511
BibRef
Earlier:
Towards intelligent camera networks: a virtual vision approach,
PETS05(177-184).
IEEE DOI 0602
BibRef

Terzopoulos, D.[Demetri],
Virtual Vision: Simulating Camera Networks in Virtual Reality for Surveillance System Design and Evaluation,
AVSBS09(375-375).
IEEE DOI 0909
BibRef

Rinner, B.[Bernhard], Wolf, W.,
A Bright Future for Distributed Smart Cameras,
PIEEE(96), No. 10, October 2008, pp. 1562-1564.
IEEE DOI 0811
BibRef

Rinner, B.[Bernhard], Wolf, W.,
An Introduction to Distributed Smart Cameras,
PIEEE(96), No. 10, October 2008, pp. 1565-1575.
IEEE DOI 0811
BibRef

Wang, X., Wang, S., Bi, D.,
Distributed Visual-Target-Surveillance System in Wireless Sensor Networks,
SMC-B(39), No. 5, October 2009, pp. 1134-1146.
IEEE DOI 0906
BibRef

Chan, W.K., Chang, J.Y., Chen, T.W., Tseng, Y.H., Chien, S.Y.,
Efficient Content Analysis Engine for Visual Surveillance Network,
CirSysVideo(19), No. 5, May 2009, pp. 693-703.
IEEE DOI 0906
BibRef

He, Y., Lee, I., Guan, L.,
Distributed Algorithms for Network Lifetime Maximization in Wireless Visual Sensor Networks,
CirSysVideo(19), No. 5, May 2009, pp. 704-718.
IEEE DOI 0906
BibRef

Shiang, H.P., van der Schaar, M.,
Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks,
CirSysVideo(20), No. 4, April 2010, pp. 505-517.
IEEE DOI 1003
BibRef

Karuppiah, D.R.[Deepak R.], Grupen, R.A.[Roderic A.], Zhu, Z.G.[Zhi-Gang], Hanson, A.R.[Allen R.],
Automatic resource allocation in a distributed camera network,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef

Yu, C.[Chao], Sharma, G.,
Camera Scheduling and Energy Allocation for Lifetime Maximization in User-Centric Visual Sensor Networks,
IP(19), No. 8, August 2010, pp. 2042-2055.
IEEE DOI 1008
BibRef

Yu, C.[Chao], Soro, S.[Stanislava], Sharma, G.[Gaurav], Heinzelman, W.[Wendi],
Lifetime-Distortion Trade-off in Image Sensor Networks,
ICIP07(V: 129-132).
IEEE DOI 0709
BibRef

Kassebaum, J., Bulusu, N., Feng, W.C.,
3-D Target-Based Distributed Smart Camera Network Localization,
IP(19), No. 10, October 2010, pp. 2530-2539.
IEEE DOI 1003
BibRef

Nguyen, H.T.[Hoang Thanh], Bhanu, B.[Bir], Patel, A.[Ankit], Diaz, R.[Ramiro],
Design and Optimization of the VideoWeb Wireless Camera Network,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1011
BibRef

Vaisenberg, R.[Ronen], Mehrotra, S.[Sharad], Ramanan, D.[Deva],
SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection,
RealTimeIP(5), No. 4, December 2010, pp. 215-230.
WWW Link. 1101
BibRef

Bhanu, B., Ravishankar, C.V., Roy-Chowdhury, A.K., Aghajan, H., Terzopoulos, D., (Eds.)
Distributed Video Sensor Networks,
Springer2011, ISBN: 978-0-85729-126-4
WWW Link. 1101
Buy this book: Distributed Video Sensor Networks BibRef

Wu, C.[Chen], Aghajan, H.[Hamid],
User-Centric Environment Discovery With Camera Networks in Smart Homes,
SMC-A(41), No. 2, March 2011, pp. 375-383.
IEEE DOI 1102
BibRef
Earlier:
Recognizing Objects in Smart Homes Based on Human Interaction,
ACIVS10(II: 131-142).
Springer DOI 1012

See also Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks. BibRef

Lee, H.[Huang], Aghajan, H.[Hamid],
Collaborative node localization in surveillance networks using opportunistic target observations,
VSSN06(9-18).
WWW Link. 0701
BibRef

Hengstler, S., Aghajan, H., Goldsmith, A.,
Application-Oriented Design of Smart Camera Networks,
ICDSC07(12-19).
IEEE DOI 0709
BibRef

Tabar, A.M.[Ali Maleki], Keshavarz, A.[Arezou], Aghajan, H.[Hamid],
Smart home care network using sensor fusion and distributed vision-based reasoning,
VSSN06(145-154).
WWW Link. 0701
BibRef

Bentley, E.S., Kondi, L.P., Matyjas, J.D., Medley, M.J., Suter, B.W.,
Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design,
MultMed(13), No. 1, 2011, pp. 125-131.
IEEE DOI 1102
BibRef

Odejide, O.O., Bentley, E.S., Kondi, L.P., Matyjas, J.D.,
Effective Resource Management in Visual Sensor Networks With MPSK,
SPLetters(20), No. 8, 2013, pp. 739-742.
IEEE DOI 1307
AWGN channels BibRef

Song, B.[Bi], Ding, C.[Chong], Kamal, A.T., Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
Distributed Camera Networks,
SPMag(28), No. 3, 2011, pp. 20-31.
IEEE DOI 1105

See also Collaborative Sensing in a Distributed PTZ Camera Network. BibRef

Schwager, M., Julian, B.J., Angermann, M., Rus, D.,
Eyes in the Sky: Decentralized Control for the Deployment of Robotic Camera Networks,
PIEEE(99), No. 9, September 2011, pp. 1541-1561.
IEEE DOI 1109
Arrangement to maximize coverage and minimize loss of information. BibRef

Chung, H., Oh, S., Shim, D.H., Sastry, S.S.,
Toward Robotic Sensor Webs: Algorithms, Systems, and Experiments,
PIEEE(99), No. 9, September 2011, pp. 1562-1586.
IEEE DOI 1109
multiagent sensing in dynamic environment. Coordination among them. BibRef

Wang, B.[Bang],
Coverage problems in sensor networks: A survey,
Surveys(43), No. 4, October 2011, pp. xx-yy.
DOI Link 1110
Survey, Sensor Networks. Sensor networks, which consist of sensor nodes each capable of sensing environment and transmitting data, have lots of applications in battlefield surveillance, environmental monitoring, industrial diagnostics, etc. BibRef

Dieber, B., Micheloni, C., Rinner, B.,
Resource-Aware Coverage and Task Assignment in Visual Sensor Networks,
CirSysVideo(21), No. 10, October 2011, pp. 1424-1437.
IEEE DOI 1110
BibRef

Dieber, B., Rinner, B.,
Resource-aware sensor selection and task assignment,
RAWNETS11(438-440).
IEEE DOI 1111
BibRef

Chen, T.C., Chen, T.S., Wu, P.W.,
On Data Collection Using Mobile Robot in Wireless Sensor Networks,
SMC-A(41), No. 6, November 2011, pp. 1213-1224.
IEEE DOI 1110
BibRef

Antonio, P., Grimaccia, F., Mussetta, M.,
Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications,
RS(4), No. 5, May 2012, pp. 1146-1161.
DOI Link 1205
BibRef

Mavrinac, A.[Aaron], Chen, X.[Xiang],
Modeling Coverage in Camera Networks: A Survey,
IJCV(101), No. 1, January 2013, pp. 205-226.
WWW Link. 1302
Survey, Camera Networks. survey of geometric and topological coverage models
See also automatic calibration method for stereo-based 3D distributed smart camera networks, An. BibRef

Ahmadi, H.R., Vosoughi, A.,
Optimal Training and Data Power Allocation in Distributed Detection With Inhomogeneous Sensors,
SPLetters(20), No. 4, April 2013, pp. 339-342.
IEEE DOI 1303
BibRef

Yoon, Y., Kim, Y.H.,
An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks,
Cyber(43), No. 5, 2013, pp. 1473-1483.
IEEE DOI 1309
Genetic algorithm; maximum coverage; sensor deployment; solution space BibRef

Xu, J.[Jiejun], Jagadeesh, V., Ni, Z.F.[Ze-Feng], Sunderrajan, S., Manjunath, B.S.,
Graph-Based Topic-Focused Retrieval in Distributed Camera Network,
MultMed(15), No. 8, December 2013, pp. 2046-2057.
IEEE DOI 1402
edge detection BibRef

Ning, H.S.[Huan-Sheng], Liu, H.[Hong], Du, W.[Wei], Wu, J.J.[Jia-Jia], Wang, Z.[Ziou], Yang, L.T., Min, G.Y.[Ge-Yong],
Human-Attention Inspired Resource Allocation for Heterogeneous Sensors in the Web of Things,
IEEE_Int_Sys(28), No. 6, November 2013, pp. 20-28.
IEEE DOI 1404
Internet of Things BibRef

Abas, K.[Kevin], Porto, C.[Caio], Obraczka, K.[Katia],
Wireless Smart Camera Networks for the Surveillance of Public Spaces,
Computer(47), No. 5, May 2014, pp. 37-44.
IEEE DOI 1407
Bandwidth BibRef

Prati, A.[Andrea], Qureshi, F.Z.[Faisal Z.],
Integrating Consumer Smart Cameras into Camera Networks: Opportunities and Obstacles,
Computer(47), No. 5, May 2014, pp. 45-51.
IEEE DOI 1407
Algorithm design and analysis BibRef

Mitra, K.[Kaushik], Veeraraghavan, A.[Ashok], Sankaranarayanan, A.C.[Aswin C.], Baraniuk, R.G.[Richard G.],
Toward Compressive Camera Networks,
Computer(47), No. 5, May 2014, pp. 52-59.
IEEE DOI 1407
Cameras BibRef

Redondi, A., Buranapanichkit, D., Cesana, M., Tagliasacchi, M., Andreopoulos, Y.,
Energy Consumption of Visual Sensor Networks: Impact of Spatio-Temporal Coverage,
CirSysVideo(24), No. 12, December 2014, pp. 2117-2131.
IEEE DOI 1412
Zigbee BibRef

Chadha, A.[Aaron], Abbas, A.[Alhabib], Andreopoulos, Y.F.[Yi-Fannis],
Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor,
CirSysVideo(29), No. 2, February 2019, pp. 475-485.
IEEE DOI 1902
Decoding, Training, Complexity theory, deep learning BibRef

Imran, M., Shahzad, K., Ahmad, N., O'Nils, M., Lawal, N., Oelmann, B.,
Energy-Efficient SRAM FPGA-Based Wireless Vision Sensor Node: SENTIOF-CAM,
CirSysVideo(24), No. 12, December 2014, pp. 2132-2143.
IEEE DOI 1412
Complexity theory BibRef

Roach, J.H., Marks, R.J., Thompson, B.B.,
Recovery from Sensor Failure in an Evolving Multiobjective Swarm,
SMCS(45), No. 1, January 2015, pp. 170-174.
IEEE DOI 1502
evolutionary computation BibRef

Hu, T.[Tao], Messelodi, S.[Stefano], Lanz, O.[Oswald],
Dynamic task decomposition for decentralized object tracking in complex scenes,
CVIU(134), No. 1, 2015, pp. 89-104.
Elsevier DOI 1504
BibRef
Earlier:
Dynamic Task Decomposition for Probabilistic Tracking in Complex Scenes,
ICPR14(4134-4139)
IEEE DOI 1412
Multi-camera tracking. Cameras BibRef

Yaagoubi, R.[Reda], El Yarmani, M.[Mabrouk], Kamel, A.[Abdullah], Khemiri, W.[Walid],
HybVOR: A Voronoi-Based 3D GIS Approach for Camera Surveillance Network Placement,
IJGI(4), No. 2, 2015, pp. 754.
DOI Link 1507
BibRef

Rinner, B.[Bernhard], Esterle, L.[Lukas], Simonjan, J.[Jennifer], Nebehay, G.[Georg], Pflugfelder, R.[Roman], Dominguez, G.F.[Gustavo Fernandez], Lewis, P.R.[Peter R.],
Self-Aware and Self-Expressive Camera Networks,
Computer(48), No. 7, July 2015, pp. 21-28.
IEEE DOI 1506
Cameras BibRef

Li, H.[Huan], Fan, H.[Hong], Li, J.[Jia], Chen, N.C.[Neng-Cheng],
Pull-Based Modeling and Algorithms for Real-Time Provision of High-Frequency Sensor Data from Sensor Observation Services,
IJGI(5), No. 4, 2016, pp. 51.
DOI Link 1604
BibRef

de Farias, C.M.[Claudio M.], Li, W.[Wei], Delicato, F.C.[Flávia C.], Pirmez, L.[Luci], Zomaya, A.Y.[Albert Y.], Pires, P.F.[Paulo F.], de Souza, J.N.[José N.],
A Systematic Review of Shared Sensor Networks,
Surveys(48), No. 4, May 2016, pp. Article No 51.
DOI Link 1605
Survey, Sensor Networks. A systematic literature survey on SSNs. The main goal of the article is to provide the reader with the opportunity to understand what has been done and what remains as open issues in this field, as well as which are the pivotal factors of this evolutionary design and how this kind of design can be exploited by a wide range of WSN applications. BibRef

Piciarelli, C., Esterle, L., Khan, A., Rinner, B., Foresti, G.L.,
Dynamic Reconfiguration in Camera Networks: A Short Survey,
CirSysVideo(26), No. 5, May 2016, pp. 965-977.
IEEE DOI 1605
Cameras BibRef

Liu, J.B.[Jun-Bin], Sridharan, S.[Sridha], Fookes, C.[Clinton],
Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review,
Surveys(49), No. 1, July 2016, pp. Article No 6.
DOI Link 1608
With recent advances in consumer electronics and the increasingly urgent need for public security, camera networks have evolved from their early role of providing simple and static monitoring to current complex systems capable of obtaining extensive video information for intelligent processing, such as target localization, identification, and tracking. In all cases, it is of vital importance that the optimal camera configuration (i.e., optimal location, orientation, etc.) is determined before cameras are deployed as a suboptimal placement solution will adversely affect intelligent video surveillance and video analytic algorithms. The optimal configuration may also provide substantial savings on the total number of cameras required to achieve the same level of utility. In this article, we examine most, if not all, of the recent approaches (post 2000) addressing camera placement in a structured manner. We believe that our work can serve as a first point of entry for readers wishing to start researching into this area or engineers who need to design a camera system in practice. To this end, we attempt to provide a complete study of relevant formulation strategies and brief introductions to most commonly used optimization techniques by researchers in this field. We hope our work to be inspirational to spark new ideas in the field. BibRef

Zarezadeh, A.A.[Ali Akbar], Bobda, C.[Christophe], Yonga, F.[Franck], Mefenza, M.[Michael],
Efficient network clustering for traffic reduction in embedded smart camera networks,
RealTimeIP(12), No. 4, December 2016, pp. 813-826.
Springer DOI 1612
BibRef

Petitti, A., di Paola, D., Milella, A., Lorusso, A., Colella, R., Attolico, G., Caccia, M.,
A Network of Stationary Sensors and Mobile Robots for Distributed Ambient Intelligence,
IEEE_Int_Sys(31), No. 6, November 2016, pp. 28-34.
IEEE DOI 1612
ambient intelligence BibRef

Alsmirat, M.A.[Mohammad A.], Jararweh, Y.[Yaser], Obaidat, I.[Islam], Gupta, B.B.[Brij B.],
Automated wireless video surveillance: an evaluation framework,
RealTimeIP(13), No. 3, September 2017, pp. 527-546.
Springer DOI 1710
BibRef

Wang, M., Cheng, B., Yuen, C.,
Joint Coding-Transmission Optimization for a Video Surveillance System With Multiple Cameras,
MultMed(20), No. 3, March 2018, pp. 620-633.
IEEE DOI 1802
Cameras, Encoding, Internet, Real-time systems, Streaming media, Surveillance, Video coding, High definition, real time, wide viewing angle BibRef

Jiang, Z.W.[Zheng-Wei],
RETRACTED: Camera network analysis for visual surveillance in electric industrial context,
JVCIR(69), 2020, pp. 102839.
Elsevier DOI 2006
BibRef
And: Original: JVCIR(56), 2018, pp. 201-206. 1811
Camera network, Topology, Sparse, Visual surveillance BibRef

Dabrowski, A.[Adam], Matczak, P.[Piotr], Wójtowicz, A.[Andrzej], Leitner, M.[Michael],
Identification of Experimental and Control Areas for CCTV Effectiveness Assessment: The Issue of Spatially Aggregated Data,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Tomic, S.[Slavisa], Beko, M.[Marko], Tuba, M.[Milan],
A Linear Estimator for Network Localization Using Integrated RSS and AOA Measurements,
SPLetters(26), No. 3, March 2019, pp. 405-409.
IEEE DOI 1903
computational complexity, cooperative communication, maximum likelihood estimation, wireless sensor networks, weighted least squares (WLS) BibRef

Kapach, Z.[Zohar], Ulmer, A.[Andrew], Merrick, D.[Daniel], Alikhan, A.[Arshad], Lu, Y.H.[Yung-Hsiang], Mohan, A.[Anup], Kaseb, A.S.[Ahmed S.], Thiruvathukal, G.K.[George K.],
Cloud Resource Optimization for Processing Multiple Streams of Visual Data,
MultMedMag(26), No. 3, July 2019, pp. 31-41.
IEEE DOI 1909
Cloud computing, Cameras, Streaming media, Graphics processing units, Real-time systems, Visualization. BibRef

Pellicanň, N.[Nicola], Aldea, E.[Emanuel], Le Hégarat-Mascle, S.[Sylvie],
Wide baseline pose estimation from video with a density-based uncertainty model,
MVA(30), No. 6, September 2019, pp. 1041-1059.
Springer DOI 1909
BibRef

Bollen, E.[Erik], Kuijpers, B.[Bart], Soliani, V.[Valeria], Vaisman, A.[Alejandro],
Temporal Paths in Real-World Sensor Networks,
IJGI(13), No. 2, 2024, pp. 36.
DOI Link 2402
BibRef


Reis, R.O., Dias, I.H., Prates, R., Schwartz, W.R.,
Cycleptz: The Learning-Based Control Method For Master-Slave Camera Systems,
ICIP20(286-290)
IEEE DOI 2011
Cameras, Master-slave, Training, Computational modeling, Neural networks, Surveillance, Control systems, PTZ cameras, video surveillance. BibRef

Callemein, T., van Ranst, W., Goedemé, T.,
The autonomous hidden camera crew,
MVA17(47-50)
DOI Link 1708
Cameras, Detectors, Hardware, Organizations, Streaming media, Switches, TV BibRef

Ko, J.H., Na, T., Mukhopadhyay, S.,
An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance,
AVSS16(138-144)
IEEE DOI 1611
Discrete cosine transforms BibRef

Hebbalaguppe, R., McGuinness, K., Kuklyte, J., Albatal, R., Direkoglu, C., O'Connor, N.E.,
Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks,
ICIP16(943-947)
IEEE DOI 1610
Add a spider detector to surveillance system. BibRef

Imre, E.[Evren], Hilton, A.[Adrian],
Coverage evaluation of camera networks for facilitating big-data management in film production,
ICIP15(3710-3714)
IEEE DOI 1512
Big-data problems; sensor coverage; sensor networks BibRef

Kim, H.S.[Han-Sung], Pabst, S.[Simon], Sneddon, J.[Justin], Waine, T.[Ted], Clifford, J.[Jeff], Hilton, A.[Adrian],
Multi-modal big-data management for film production,
ICIP15(4833-4837)
IEEE DOI 1512
Big data management; Film production; Multi-modal data registration BibRef

Boydstun, D.[Daniel], Farich, M.[Matthew], McCarthy, III, J.[John], Rubinson, S.[Silas], Smith, Z.[Zachary], Rekleitis, I.[Ioannis],
Drifter Sensor Network for Environmental Monitoring,
CRV15(16-22)
IEEE DOI 1507
Cameras BibRef

Toni, L., Maugey, T., Frossard, P.,
Packet scheduling in multicamera capture systems,
VCIP14(338-341)
IEEE DOI 1504
cameras BibRef

Baroffio, L., Canclini, A., Cesana, M., Redondi, A., Tagliasacchi, M., Dan, G., Eriksson, E., Fodor, V., Ascenso, J., Monteiro, P.,
Enabling visual analysis in wireless sensor networks,
ICIP14(3408-3410)
IEEE DOI 1502
Cameras BibRef

O'Gorman, L.[Lawrence], Livescu, D.[Dorel], Yang, G.[Guang],
Creating a Unified, Wide-Area Activity Map for Multi-Camera Networks,
ICPR14(4588-4593)
IEEE DOI 1412
Bidirectional control BibRef

Ye, C.[Chuang], Zheng, Y.[Yu], Velipasalar, S.[Senem], Gursoy, M.C.[M. Cenk],
Energy-aware and robust task (re)assignment in embedded smart camera networks,
AVSS13(123-128)
IEEE DOI 1311
Accuracy BibRef

Petitti, A.[Antonio], Paola, D.D.[Donato Di], Milella, A.[Annalisa], Mazzeo, P.L.[Pier Luigi], Spagnolo, P.[Paolo], Cicirelli, G.[Grazia], Attolico, G.[Giovanni],
A distributed heterogeneous sensor network for tracking and monitoring,
AVSS13(426-431)
IEEE DOI 1311
Cameras; Mobile nodes; Monitoring; Robot vision systems; Target tracking BibRef

Samadzadegan, F., Zahmatkesh, H., Saber, M., Ghazi Khanlou, H.J.,
An Interoperable Architecture for Air Pollution Early Warning System Based on Sensor Web,
SMPR13(459-462).
DOI Link 1311
BibRef

Liu, W., He, Z.H.[Zhi-Hai],
Smart video access control system with hybrid features in complicated environment,
ICWAPR16(201-207)
IEEE DOI 1611
Access control BibRef

He, Z.H.[Zhi-Hai],
Integrated camera and sensor networks: Algorithms, design, and applications,
VCIP12(1-2).
IEEE DOI 1302
BibRef

Liu, J.B.[Jun-Bin], Fookes, C.[Clinton], Wark, T.[Tim], Sridharan, S.[Sridha],
On the Statistical Determination of Optimal Camera Configurations in Large Scale Surveillance Networks,
ECCV12(I: 44-57).
Springer DOI 1210
BibRef

Rinner, B.[Bernhard], Dieber, B.[Bernhard], Esterle, L.[Lukas], Lewis, P.R.[Peter R.], Yao, X.[Xin],
Resource-aware configuration in smart camera networks,
CNWASA12(58-65).
IEEE DOI 1207
BibRef

Antunes, D.M.[David M.], Figueira, D.[Dario], Matos, D.M.[David M.], Bernardino, A.[Alexandre], Gaspar, J.[Jose],
Multiple Hypothesis Tracking in camera networks,
OMNIVIS11(367-374).
IEEE DOI 1201
BibRef

Wang, C.[Chang], Qi, F.[Fei], Shi, G.M.[Guang-Ming],
Observation quality guaranteed layout of camera networks via sparse representation,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Li, Y.L.[Yu-Ling], Liu, F.[Feng], Ding, L.[Luwei],
Research about security mechanism in wireless sensor network,
IASP11(447-451).
IEEE DOI 1112
BibRef

Bhattacharyya, S.S., Plishker, W., Sane, N., Shen, C.C.[Chung-Ching], Wu, H.H.[Hsiang-Huang],
Modeling and optimization of dynamic signal processing in resource-aware sensor networks,
RAWNETS11(449-454).
IEEE DOI 1111
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Baktashmotlagh, M., Bigdeli, A., Lovell, B.C.,
Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs,
RAWNETS11(455-460).
IEEE DOI 1111
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Al Machot, F., Kyamakya, K., Dieber, B., Rinner, B.,
Real time complex event detection for resource-limited multimedia sensor networks,
MultiCamera11(468-473).
IEEE DOI 1111
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Al Machot, F., Tasso, C., Dieber, B., Kyamakya, K., Piciarelli, C., Micheloni, C., Londero, S., Valotto, M., Omero, P., Rinner, B.,
Smart resource-aware multimedia sensor network for automatic detection of complex events,
MMSysS11(402-407).
IEEE DOI 1111
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Winkler, T.[Thomas], Erdelyi, A.[Adam], Rinner, B.[Bernhard],
TrustEYE.M4: Protecting the sensor: Not the camera,
AVSS14(159-164)
IEEE DOI 1411
Cameras. Privacy issues. BibRef

Al Machot, F.[Fadi], Dieber, B.[Bernhard], Hossl, P.[Petra], Kyamakya, K.[Kyandoghere], Londero, S.[Sabrina], Micheloni, C.[Christian], Omero, P.[Paolo], Piciarelli, C.[Claudio], Rinner, B.[Bernhard], Tasso, C.[Carlo], Valotto, M.[Massimiliano],
Smart Resource-Aware Multi-Sensor Network,
AVSBS11(529-530).
IEEE DOI 1111
AVSS 2011 demo session. BibRef

Akyildiz, I.F.[Ian F.],
Novel communication architectures for wireless multimedia sensor networks,
AVSBS11(203).
IEEE DOI 1111
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And: AVSBS11(204).
IEEE DOI 1111
Keynote speech. Review BibRef

Starzyk, W.[Wiktor], Domurad, A.[Adam], Qureshi, F.Z.[Faisal Z.],
A Virtual Vision Simulator for Camera Networks Research,
CRV12(306-313).
IEEE DOI 1207
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Jacobs, N., Souvenir, R., Pless, R.,
Passive vision: The global webcam imaging network,
AIPR09(1-8).
IEEE DOI 0910
Images from 1000 cameras captured every half hour over the last 3 years. BibRef

Ni, Z.F.[Ze-Feng], Xu, J.J.[Jie-Jun], Manjunath, B.S.,
Object browsing and searching in a camera network using graph models,
CNWASA12(7-14).
IEEE DOI 1207
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Kuo, T.[Thomas], Ni, Z.F.[Ze-Feng], de Leo, C.[Carter], Manjunath, B.S.,
Design and implementation of a wide area, large-scale camera network,
WCN10(25-32).
IEEE DOI 1006
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Quinn, M.J.[Michael J.], Mudumbai, R.[Raghuraman], Kuo, T.[Thomas], Ni, Z.F.[Ze-Feng], de Leo, C.[Carter], Manjunath, B.S.,
VISNET: A distributed vision testbed,
ICDSC08(1-8).
IEEE DOI 0809
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Dieber, B.[Bernhard], Rinner, B.[Bernhard], Viertl, N.[Nikolaus],
Flexible clustering in networks of smart cameras,
EmbedCV09(834-839).
IEEE DOI 0910
Analysis at camera cluster level, not central server. BibRef

Boult, T.E.,
Geo-spatial active visual surveillance on wireless networks,
AIPR03(244-249).
IEEE DOI 0310
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Bixio, L.[Luca], Ciardelli, L.[Lorenzo], Ottonello, M.[Marina], Regazzoni, C.S.[Carlo S.],
Distributed Cognitive Sensor Network Approach for Surveillance Applications,
AVSBS09(232-237).
IEEE DOI 0909
BibRef

Chippendale, P.[Paul], Zanin, M.[Michele], Andreatta, C.[Claudio],
Re-photography and Environment Monitoring Using a Social Sensor Network,
CIAP09(34-42).
Springer DOI 0909
Using and calibrating available network cameras for surveillance. BibRef

Wang, M.[Min], Huang, Z.H.[Zhan-Hua],
New concepts of network camera for measuring images,
IASP09(389-391).
IEEE DOI 0904
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Monari, E.[Eduardo], Kroschel, K.[Kristian],
Dynamic Sensor Selection for Single Target Tracking in Large Video Surveillance Networks,
AVSS10(539-546).
IEEE DOI 1009
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Monari, E.[Eduardo], Kroschel, K.[Kristian],
Task-Oriented Object Tracking in Large Distributed Camera Networks,
AVSS10(40-47).
IEEE DOI 1009
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Monari, E.[Eduardo], Voth, S.[Sascha], Kroschel, K.[Kristian],
An Object- and Task-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks,
AVSBS08(339-346).
IEEE DOI 0809

See also Commentary Paper on An Object- and Task-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks. BibRef

Zheng, R.[Rong],
Commentary Paper on 'An Object- and Task-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks',
AVSBS08(347-347).
IEEE DOI 0809

See also Object- and Task-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks, An. BibRef

Zamora, N.H., Marculescu, R.,
Coordinated Distributed Power Management with Video Sensor Networks: Analysis, Simulation, and Prototyping,
ICDSC07(4-11).
IEEE DOI 0709
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Lei, C.[Cheng], Yang, Y.H.[Yee-Hong],
Design and implementation of a cluster based smart camera array application framework,
ICDSC08(1-10).
IEEE DOI 0809
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Saastamoinen, P.[Pekka], Huttunen, S.[Sami], Takala, V.[Valtteri], Heikkila, M.[Marko], Heikkila, J.[Janne],
Scallop: An open peer-to-peer framework for distributed sensor networks,
ICDSC08(1-9).
IEEE DOI 0809

See also Boosting Clusters of Samples for Sequence Matching in Camera Networks. BibRef

Chen, P.[Phoebus], Ahammad, P.[Parvez], Boyer, C.[Colby], Huang, S.I.[Shih-I], Lin, L.[Leon], Lobaton, E.[Edgar], Meingast, M.[Marci], Oh, S.H.[Song-Hwai], Wang, S.[Simon], Yan, P.[Posu], Yang, A.Y.[Allen Y.], Yeo, C.[Chuohao], Chang, L.C.[Lung-Chung], Tygar, J.D., Sastry, S.S.[S. Shankar],
CITRIC: A low-bandwidth wireless camera network platform,
ICDSC08(1-10).
IEEE DOI 0809
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Kim, K.[Kwangsu], Medioni, G.G.[Gerard G.],
Distributed Visual Processing for a Home Visual Sensor Network,
WACV08(1-6).
IEEE DOI 0801
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Shankar, M.[Mallikarjun], Sorokine, A.[Alexandre], Bhaduri, B.L.[Budhendra L.], Resseguie, D.[David], Shekhar, S.[Shashi], Yoo, J.S.[Jin Soung],
Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks,
GS07(160-176).
Springer DOI 0711
BibRef

Soro, S.[Stanislava], Heinzelman, W.[Wendi],
Camera selection in visual sensor networks,
AVSBS07(81-86).
IEEE DOI 0709
BibRef

Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Event driven software architecture for multi-camera and distributed surveillance research systems,
WCN10(1-8).
IEEE DOI 1006
BibRef

Prati, A.[Andrea], Vezzani, R.[Roberto], Benini, L.[Luca], Farella, E.[Elisabetta], Zappi, P.[Piero],
An integrated multi-modal sensor network for video surveillance,
VSSN05(95-102).
WWW Link. 0511
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Wang, B.[Bo], He, Z.H.[Zhi-Hai], Sun, Y.[Yu],
Distributed Rate Allocation and Performance Optimization for Video Communication Over Mesh Networks,
ICIP07(VI: 501-504).
IEEE DOI 0709
BibRef

Wang, B.[Bo], He, Z.H.[Zhi-Hai],
Performance Optimization of Wireless Video Sensor Networks using Swarm Optimization with Convex Mapping,
ICIP06(1293-1296).
IEEE DOI 0610
BibRef

Cichowski, A., Madden, C., Detmold, H., Dick, A., van den Hengel, A.J., Hill, R.,
Tracking hand-off in large surveillance networks,
IVCNZ09(276-281).
IEEE DOI 0911
BibRef

van den Hengel, A.J.[Anton J.], Hill, R.[Rhys], Ward, B.[Ben], Cichowski, A.[Alex], Detmold, H.[Henry], Madden, C.[Chris], Dick, A.[Anthony], Bastian, J.[John],
Automatic camera placement for large scale surveillance networks,
WACV09(1-6).
IEEE DOI 0912
BibRef

Cichowski, A.[Alex], Madden, C.[Christopher], van den Hengel, A.J.[Anton J.], Hill, R.[Rhys], Detmold, H.[Henry], Dick, A.[Anthony],
Contradiction and Correlation for Camera Overlap Estimation,
AVSBS09(268-273).
IEEE DOI 0909
BibRef

Hill, R.[Rhys], Madden, C.[Christopher], van den Hengel, A.J.[Anton J.], Detmold, H.[Henry], Dick, A.[Anthony],
Measuring Latency for Video Surveillance Systems,
DICTA09(89-95).
IEEE DOI 0912
BibRef

van den Hengel, A.J.[Anton J.], Dick, A.[Anthony], Detmold, H.[Henry], Cichowski, A.[Alex], Hill, R.[Rhys],
Finding Camera Overlap in Large Surveillance Networks,
ACCV07(I: 375-384).
Springer DOI 0711
BibRef

Zhu, M.[Michael], Dick, A.[Anthony], van den Hengel, A.J.[Anton J.],
Large-Scale Camera Network Topology Estimation by Lighting Variation,
ACIVS17(455-467).
Springer DOI 1712
BibRef
Earlier:
Camera Network Topology Estimation by Lighting Variation,
DICTA15(1-6)
IEEE DOI 1603
cameras BibRef

van den Hengel, A.J.[Anton J.], Dick, A.[Anthony], Hill, R.[Rhys],
Activity Topology Estimation for Large Networks of Cameras,
AVSBS06(44-44).
IEEE DOI 0611
BibRef

Detmold, H.[Henry], van den Hengel, A.J.[Anton J.], Dick, A.[Anthony], Cichowski, A.[Alex], Hill, R.[Rhys], Kocadag, E.[Ekim], Yarom, Y.[Yuval], Falkner, K.[Katrina], Munro, D.S.[David S.],
Estimating camera overlap in large and growing networks,
ICDSC08(1-10).
IEEE DOI 0809
BibRef

Hill, R.[Rhys], van den Hengel, A.J.[Anton J.], Dick, A.[Anthony], Cichowski, A.[Alex], Detmold, H.[Henry],
Empirical evaluation of the exclusion approach to estimating camera overlap,
ICDSC08(1-9).
IEEE DOI 0809
BibRef

Detmold, H., van den Hengel, A.J., Dick, A., Cichowski, A., Hill, R., Kocadag, E., Falkner, K., Munro, D.S.,
Topology Estimation for Thousand-Camera Surveillance Networks,
ICDSC07(195-202).
IEEE DOI 0709
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Sensor Networks .


Last update:Mar 16, 2024 at 20:36:19