PETS Benchmark Datasets,
Online2006 Dataset:
HTML Version.
Dataset, Surveillance.
2014 Dataset:
HTML Version. 2015 Dataset:
HTML Version. 2016 Dataset:
HTML Version.
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The KITTI Vision Benchmark Suite,
Online2013
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Award, Everingham Prize. Stereo, Lidar, GPS, etc.
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Maybank, S.J.[Steve J.],
Tan, T.N.[Tie-Niu],
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Elsevier DOI
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Regazzoni, C.S.,
Foresti, G.L.,
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RealTimeImg(7), No. 5, October 2001, pp. 381-388.
DOI Link
0110
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Collins, R.T.[Robert T.],
Lipton, A.J.[Alan J.],
Kanade, T.[Takeo],
Introduction to the Special Section on Video Surveillance,
PAMI(22), No. 8, August 2000, pp. 745-746.
IEEE DOI
0010
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Gong, S.G.[Shao-Gang],
Buxton, H.[Hilary],
Understanding visual behaviour, Special Issue Introduction,
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0210
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Buxton, H.[Hilary],
Learning and understanding dynamic scene activity: a review,
IVC(21), No. 1, January 2003, pp. 125-136.
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0301
BibRef
Namuduri, K.R.[Kameswara Rao],
Ramaswamy, V.[Veeru],
Preface, Video Analysis,
PRL(25), No. 7, May 2004, pp. 753-754.
Elsevier DOI
0405
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Hu, W.,
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SMC-C(34), No. 3, August 2004, pp. 334-352.
IEEE Abstract.
0409
Survey, Surveillance.
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Chen, H.,
Wang, F.Y.[Fei-Yue],
Zeng, D.,
Intelligence and security informatics for homeland security:
information, communication, and transportation,
ITS(5), No. 4, December 2004, pp. 329-341.
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0501
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Amer, A.[Aishy],
Regazzoni, C.S.[Carlo S.],
Introduction to the special issue on video object processing for
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RealTimeImg(11), No. 3, June 2005, pp. 167-171.
Elsevier DOI
0508
BibRef
And:
Erratum:
RealTimeImg(11), No. 5-6, October-December 2005, pp. 474.
Elsevier DOI
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Velastin, S.A.[Sergio A.],
Editorial. Special section on intelligent distributed surveillance
systems,
VISP(152), No. 2, April 2005, pp. 191.
DOI Link
0510
BibRef
Valera, M.,
Velastin, S.A.[Sergio A.],
Intelligent distributed surveillance systems: a review,
VISP(152), No. 2, April 2005, pp. 192-204.
DOI Link
0510
BibRef
Town, C.[Christopher],
Ontological inference for image and video analysis,
MVA(17), No. 2, May 2006, pp. 94-115.
Springer DOI
0605
BibRef
Earlier:
Ontology-Driven Bayesian Networks for Dynamic Scene Understanding,
EventVideo04(116).
IEEE DOI
0502
BibRef
Weißenberg, N.[Norbert],
Gartmann, R.[Rüdiger],
Voisard, A.[Agnès],
An Ontology-Based Approach to Personalized Situation-Aware Mobile
Service Supply,
GeoInfo(9), No. 1, March 2006, pp. 55-90.
Springer DOI
0605
Aware of situation to control PDA displays, etc.
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Fuentes, L.M.[Luis M.],
Velastin, S.A.[Sergio A.],
People tracking in surveillance applications,
IVC(24), No. 11, 1 November 2006, pp. 1165-1171.
Elsevier DOI
0610
BibRef
Earlier:
From tracking to advanced surveillance,
ICIP03(III: 121-124).
IEEE DOI
0312
CCTV Surveillance; Tracking; Automatic surveillance
BibRef
Remagnino, P.[Paolo],
Velastin, S.A.[Sergio A.],
Foresti, G.L.[Gian Luca],
Trivedi, M.M.[Mohan M.],
Novel concepts and challenges for the next generation of video
surveillance systems,
MVA(18), No. 3-4, August 2007, pp. 135-137.
Springer DOI
0706
BibRef
Martinez-Tomas, R.,
Rincon, M.,
Bachiller, M.,
Mira, J.,
On the correspondence between objects and events for the diagnosis of
situations in visual surveillance tasks,
PRL(29), No. 8, 1 June 2008, pp. 1117-1135.
Elsevier DOI
0804
Visual surveillance systems; Image understanding; Description levels;
Visual surveillance ontology; Predictive diagnosis task; Semantic gap
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Jones, G.A.[Graeme A.],
Special issue on Intelligent Visual Surveillance,
CVIU(111), No. 1, July 2008, pp. 1.
Elsevier DOI
0711
BibRef
Ahmad, I.,
He, Z.,
Liao, M.,
Pereira, F.,
Sun, M.T.,
Special Issue on Video Surveillance,
CirSysVideo(18), No. 8, August 2008, pp. 1001-1005.
IEEE DOI
0809
BibRef
Dee, H.M.[Hannah M.],
Velastin, S.A.[Sergio A.],
How close are we to solving the problem of automated visual
surveillance?: A review of real-world surveillance, scientific progress
and evaluative mechanisms,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI
0810
BibRef
Tao, H.[Hai],
Sawhney, H.S.[Harpreet Singh],
Special issue on video surveillance research in industry and academia,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI
0810
BibRef
Haering, N.C.[Niels C.],
Venetianer, P.L.[Péter L.],
Lipton, A.J.[Alan J.],
The evolution of video surveillance: an overview,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI
0810
BibRef
Baumann, A.[Axel],
Boltz, M.[Marco],
Ebling, J.[Julia],
Koenig, M.[Matthias],
Loos, H.S.[Hartmut S.],
Merkel, M.[Marcel],
Niem, W.[Wolfgang],
Warzelhan, J.K.[Jan Karl],
Yu, J.[Jie],
A Review and Comparison of Measures for Automatic Video Surveillance
Systems,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link
0811
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Lavee, G.[Gal],
Rivlin, E.[Ehud],
Rudzsky, M.[Michael],
Understanding Video Events: A Survey of Methods for Automatic
Interpretation of Semantic Occurrences in Video,
SMC-C(39), No. 5, September 2009, pp. 489-504.
IEEE DOI
0909
BibRef
Lavee, G.[Gal],
Rudzsky, M.[Michael],
Rivlin, E.[Ehud],
Borzin, A.[Artyom],
Video Event Modeling and Recognition in Generalized Stochastic Petri
Nets,
CirSysVideo(20), No. 1, January 2010, pp. 102-118.
IEEE DOI
1002
BibRef
Earlier: A1, A4, A3, A2:
Building Petri Nets from Video Event Ontologies,
ISVC07(I: 442-451).
Springer DOI
0711
BibRef
Lavee, G.[Gal],
Rudzsky, M.[Michael],
Rivlin, E.[Ehud],
Propagating Certainty in Petri Nets for Activity Recognition,
CirSysVideo(23), No. 2, February 2013, pp. 326-337.
IEEE DOI
1301
BibRef
Earlier:
Propagating Uncertainty in Petri Nets for Activity Recognition,
ISVC10(II: 706-715).
Springer DOI
1011
BibRef
Govea, V.[Vasquez],
Dizan, A.[Alejandro],
Incremental Learning for Motion Prediction of Pedestrians and Vehicles,
Springer2010, ISBN: 978-3-642-13641-2
WWW Link.
Buy this book: Incremental Learning for Motion Prediction of Pedestrians and Vehicles (Springer Tracts in Advanced Robotics)
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Räty, T.D.,
Survey on Contemporary Remote Surveillance Systems for Public Safety,
SMC-C(40), No. 5, September 2010, pp. 493-515.
IEEE DOI
1008
Survey, Surveillance. State of the art.
BibRef
Chellappa, R.,
Heinzelman, W.,
Konrad, J.,
Schonfeld, D.,
Wolf, M.,
Special Section on Distributed Camera Networks:
Sensing, Processing, Communication, and Implementation,
IP(19), No. 10, October 2010, pp. 2513-2515.
IEEE DOI
1003
BibRef
Schneiderman, R.,
Trends In Video Surveillance Give DSP an Apps Boost,
SPMag(27), No. 6, 2010, pp. 6-12.
IEEE DOI
1011
Special Reports.
BibRef
di Stefano, L.[Luigi],
Regazzoni, C.S.[Carlo S.],
Schonfeld, D.[Dan],
Advanced Video-Based Surveillance,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link
1104
BibRef
Agaian, S.,
Tang, J.,
Jassim, S.,
Chen, C.L.P.,
Zhang, C.,
Cao, Y.,
Guest Editorial Introduction to the Special Issue on Pattern
Recognition Technologies for Anti-Terrorism Applications,
SMC-C(41), No. 5, September 2011, pp. 561-564.
IEEE DOI
1109
BibRef
Denecke, K.[Kerstin],
Event-Driven Surveillance: Possibilities and Challenges,
SpringerNew-York, 2012.
ISBN: 978-3-642-28134-1
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Aggarwal, J.K.,
Ryoo, M.S.,
Toward a unified framework of motion understanding,
IVC(30), No. 8, August 2012, pp. 465-466.
Elsevier DOI
1209
Opinion paper; Motion understanding; Human activity recognition
BibRef
Lu, G.L.[Guo-Liang],
Kudo, M.[Mineichi],
Toyama, J.[Jun],
Temporal segmentation and assignment of successive actions in a
long-term video,
PRL(34), No. 15, 2013, pp. 1936-1944.
Elsevier DOI
1309
Action segmentation
BibRef
Wang, X.G.[Xiao-Gang],
Intelligent multi-camera video surveillance: A review,
PRL(34), No. 1, 1 January 2013, pp. 3-19.
Elsevier DOI
1211
Multi-camera video surveillance; Multi-camera calibration; Topology of
camera networks; Multi-camera tracking; Object re-identification;
Multi-camera activity analysis
BibRef
Porikli, F.M.,
Bremond, F.,
Dockstader, S.L.,
Ferryman, J.M.,
Hoogs, A.,
Lovell, B.C.,
Pankanti, S.,
Rinner, B.,
Tu, P.,
Venetianer, P.L.,
Video Surveillance: Past, Present, and Now the Future,
SPMag(30), No. 3, 2012, pp. 190-198.
IEEE DOI
1304
Survey, Surveillance. DSP Forum.
BibRef
Moon, Y.J.[Young-Jun],
Keynote lecture 3: 'Intelligent transport systems (ITS) for next
generation with advanced surveillance',
AVSS14(XVI-XVI)
IEEE DOI
1411
Artificial intelligence
BibRef
Zhang, S.P.[Sheng-Ping],
Zhou, H.Y.[Hui-Yu],
Zhang, B.C.[Bao-Chang],
Han, Z.J.[Zhen-Jun],
Guo, Y.L.[Yu-Liang],
Signal, image and video processing special issue: Semantic
representations for social behavior analysis in video surveillance
systems,
SIViP(8), No. S1, December 2014, pp. 73-74.
Springer DOI
1411
BibRef
Gao, W.[Wen],
Tian, Y.H.[Yong-Hong],
Huang, T.J.[Tie-Jun],
Ma, S.W.[Si-Wei],
Zhang, X.G.[Xian-Guo],
The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems,
IEEE_Int_Sys(29), No. 5, September 2014, pp. 30-39.
IEEE DOI
1402
BibRef
Earlier: A5, A3, A2, A1, Only:
Overview of the IEEE 1857 surveillance groups,
ICIP13(1505-1509)
IEEE DOI
1402
IEEE 1857
See also Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling.
BibRef
Lebeda, K.[Karel],
Hadfield, S.[Simon],
Bowden, R.[Richard],
TMAGIC: A Model-Free 3D Tracker,
IP(26), No. 9, September 2017, pp. 4378-4388.
IEEE DOI
1708
image motion analysis, image reconstruction, image sequences,
object tracking, 2D trackers, 3D motion modelling, TMAGIC,
model-free 3D tracker, object properties, online leader-board,
out-of-plane motion, structure from motion, visual tracking,
Cameras, Feature extraction, Solid modeling,
Tracking,
Visualization, 3D tracking, Gaussian process, Machine vision, SLAM,
image motion, structure from motion, visual, tracking
BibRef
Xian, Y.[Yang],
Rong, X.J.[Xue-Jian],
Yang, X.D.[Xiao-Dong],
Tian, Y.L.[Ying-Li],
Evaluation of Low-Level Features for Real-World Surveillance Event
Detection,
CirSysVideo(27), No. 3, March 2017, pp. 624-634.
IEEE DOI
1703
Encoding
BibRef
Huang, K.,
Tan, T.,
Maybank, S.J.[Stephen J.],
Chellappa, R.,
Aggarval, J.,
Guest Editorial Introduction to the Special Issue on Large-Scale
Video Analytics for Enhanced Security: Algorithms and Systems,
SMCS(47), No. 4, April 2017, pp. 589-592.
IEEE DOI
1704
Algorithm design and analysis
BibRef
Zhang, Q.,
Sun, H.,
Wu, X.,
Zhong, H.,
Edge Video Analytics for Public Safety: A Review,
PIEEE(107), No. 8, August 2019, pp. 1675-1696.
IEEE DOI
1908
Safety, Cameras, Law enforcement, Video surveillance,
Streaming media, Image edge detection, Robot vision systems,
video analytics
BibRef
Ahmed, Z.[Zayneb],
Hussain, A.J.[Abir Jaafar],
Khan, W.[Wasiq],
Baker, T.[Thar],
Al-Askar, H.[Haya],
Lunn, J.[Janet],
Al-Shabandar, R.[Raghad],
Al-Jumeily, D.[Dhiya],
Liatsis, P.[Panos],
Lossy and Lossless Video Frame Compression:
A Novel Approach for High-Temporal Video Data Analytics,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Elharrouss, O.[Omar],
Almaadeed, N.[Noor],
Al-Maadeed, S.[Somaya],
A review of video surveillance systems,
JVCIR(77), 2021, pp. 103116.
Elsevier DOI
2106
Video surveillance system, Video analysis, Video surveillance systems trends
BibRef
Liao, Y.[Yiyi],
Xie, J.[Jun],
Geiger, A.[Andreas],
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene
Understanding in 2D and 3D,
PAMI(45), No. 3, March 2023, pp. 3292-3310.
IEEE DOI
2302
Semantics, Annotations, Task analysis, Benchmark testing, Cameras,
Point cloud labeling, semantic label transfer,
performance evaluation
See also KITTI Vision Benchmark Suite, The.
BibRef
Delussu, R.[Rita],
Putzu, L.[Lorenzo],
Fumera, G.[Giorgio],
Synthetic Data for Video Surveillance Applications of Computer Vision:
A Review,
IJCV(132), No. 10, October 2024, pp. 4473-4509.
Springer DOI
2410
BibRef
Ahuja, N.[Nilesh],
Datta, P.[Parual],
Kanzariya, B.[Bhavya],
Somayazulu, V.S.[V. Srinivasa],
Tickoo, O.[Omesh],
Neural Rate Estimator and Unsupervised Learning for Efficient
Distributed Image Analytics in Split-DNN models,
CVPR23(2022-2030)
IEEE DOI
2309
BibRef
Paul, S.[Sibendu],
Rao, K.[Kunal],
Coviello, G.[Giuseppe],
Sankaradas, M.[Murugan],
Po, O.[Oliver],
Hu, Y.C.[Y. Charlie],
Chakradhar, S.[Srimat],
Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do
About It?,
AdvRob22(430-448).
Springer DOI
2304
BibRef
Kiefer, B.[Benjamin],
Žust, L.[Lojze],
Kristan, M.[Matej],
Perš, J.[Janez],
Teršek, M.[Matija],
Wiliem, A.[Arnold],
Messmer, M.[Martin],
Yang, C.Y.[Cheng-Yen],
Huang, H.W.[Hsiang-Wei],
Jiang, Z.Y.[Zhong-Yu],
Kuo, H.C.[Heng-Cheng],
Mei, J.[Jie],
Hwang, J.N.[Jenq-Neng],
Stadler, D.[Daniel],
Sommer, L.[Lars],
Huang, K.[Kaer],
Zheng, A.[Aiguo],
Chong, W.[Weitu],
Lertniphonphan, K.[Kanokphan],
Xie, J.[Jun],
Chen, F.[Feng],
Li, J.[Jian],
Wang, Z.[Zhepeng],
Zedda, L.[Luca],
Loddo, A.[Andrea],
di Ruberto, C.[Cecilia],
Vu, T.A.[Tuan-Anh],
Nguyen-Truong, H.[Hai],
Ha, T.S.[Tan-Sang],
Pham, Q.D.[Quan-Dung],
Yeung, S.K.[Sai-Kit],
Feng, Y.[Yuan],
Thien, N.T.[Nguyen Thanh],
Tian, L.X.[Li-Xin],
Kuan, S.Y.[Sheng-Yao],
Ho, Y.H.[Yuan-Hao],
Rodriguez, A.B.[Angel Bueno],
Carrillo-Perez, B.[Borja],
Klein, A.[Alexander],
Alex, A.[Antje],
Steiniger, Y.[Yannik],
Sattler, F.[Felix],
Solano-Carrillo, E.[Edgardo],
Fabijanic, M.[Matej],
Šumunec, M.[Magdalena],
Kapetanovic, N.[Nadir],
Michel, A.[Andreas],
Gross, W.[Wolfgang],
Weinmann, M.[Martin],
2nd Workshop on Maritime Computer Vision (MaCVi) 2024:
Challenge Results,
Maritime24(869-891)
IEEE DOI Code:
WWW Link.
2404
Computational modeling, Object detection, Feature extraction,
Autonomous aerial vehicles, Transformers
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Kiefer, B.[Benjamin],
Kristan, M.[Matej],
Perš, J.[Janez],
Žust, L.[Lojze],
Poiesi, F.[Fabio],
de Alcantara-Andrade, F.A.[Fabio Augusto],
Bernardino, A.[Alexandre],
Dawkins, M.[Matthew],
Raitoharju, J.[Jenni],
Quan, Y.T.[Yi-Tong],
Atmaca, A.[Adem],
Höfer, T.[Timon],
Zhang, Q.M.[Qi-Ming],
Xu, Y.F.[Yu-Fei],
Zhang, J.[Jing],
Tao, D.C.[Da-Cheng],
Sommer, L.[Lars],
Spraul, R.[Raphael],
Zhao, H.Y.[Hang-Yue],
Zhang, H.[Hongpu],
Zhao, Y.[Yanyun],
Augustin, J.L.[Jan Lukas],
Jeon, E.I.[Eui-Ik],
Lee, I.Y.[Imp-Yeong],
Zedda, L.[Luca],
Loddo, A.[Andrea],
Ruberto, C.D.[Cecilia Di],
Verma, S.[Sagar],
Gupta, S.[Siddharth],
Muralidhara, S.[Shishir],
Hegde, N.[Niharika],
Xing, D.[Daitao],
Evangeliou, N.[Nikolaos],
Tzes, A.[Anthony],
Bartl, V.[Vojtech],
Španhel, J.[Jakub],
Herout, A.[Adam],
Bhowmik, N.[Neelanjan],
Breckon, T.P.[Toby P.],
Kundargi, S.[Shivanand],
Anvekar, T.[Tejas],
Tabib, R.A.[Ramesh Ashok],
Mudengudi, U.[Uma],
Vats, A.[Arpita],
Song, Y.[Yang],
Liu, D.[Delong],
Li, Y.L.[Yong-Lin],
Li, S.[Shuman],
Tan, C.H.[Chen-Hao],
Lan, L.[Long],
Somers, V.[Vladimir],
de Vleeschouwer, C.[Christophe],
Alahi, A.[Alexandre],
Huang, H.W.[Hsiang-Wei],
Yang, C.Y.[Cheng-Yen],
Hwang, J.N.[Jenq-Neng],
Kim, P.K.[Pyong-Kun],
Kim, K.[Kwangju],
Lee, K.[Kyoungoh],
Jiang, S.[Shuai],
Li, H.[Haiwen],
Zi-Qiang, Z.[Zheng],
Vu, T.A.[Tuan-Anh],
Nguyen-Truong, H.[Hai],
Yeung, S.K.[Sai-Kit],
Jia, Z.[Zhuang],
Yang, S.[Sophia],
Hsu, C.C.[Chih-Chung],
Hou, X.Y.[Xiu-Yu],
Jhang, Y.A.[Yu-An],
Yang, S.[Simon],
Yang, M.T.[Mau-Tsuen],
1st Workshop on Maritime Computer Vision (MaCVi) 2023:
Challenge Results,
Maritime23(265-302)
IEEE DOI
2302
Training, Conferences, Object detection, Detectors,
Benchmark testing, Autonomous aerial vehicles
BibRef
Ravichandran, B.[Bharadwaj],
Collins, R.[Roderic],
Fieldhouse, K.[Keith],
Corona, K.[Kellie],
Hoogs, A.J.[Anthony J.],
From Leaderboard To Operations: DIVA Transition Experiences,
Activity22(143-150)
IEEE DOI
2202
Deep Intermodal Video Analytics (DIVA) program has sponsored the
development of systems that detect and recognize activities in
security video.
Measurement, Visual analytics, Conferences,
Software, Security, Software engineering
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Le, H.,
Smailis, C.,
Shi, L.,
Kakadiaris, I.,
EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance
Problems,
WACV20(2674-2683)
IEEE DOI
2006
Cameras, Image edge detection, Face detection, Face recognition,
Face, Data acquisition
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Giannakeris, P.,
Avgerinakis, K.,
Karakostas, A.,
Vrochidis, S.,
Kompatsiaris, I.,
People and Vehicles in Danger:
A Fire and Flood Detection System in Social Media,
IVMSP18(1-5)
IEEE DOI
1809
Electromagnetic compatibility, Flickr, Image segmentation,
Estimation, Safety, Machine learning, deep learning,
object detection
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Zhang, C.Y.[Chong-Yang],
Ni, B.B.[Bing-Bing],
Song, L.[Li],
Zhai, G.T.[Guang-Tao],
Yang, X.K.[Xiao-Kang],
Zhang, W.J.[Wen-Jun],
BEST: Benchmark and Evaluation of Surveillance Task,
BEST16(III: 393-407).
Springer DOI
1704
BibRef
Hu, C.P.[Chuan-Ping],
Xue, G.J.[Geng-Jian],
Mei, L.[Lin],
Qi, L.[Li],
Shao, J.[Jie],
Shang, Y.F.[Yan-Feng],
Wang, J.[Jian],
Building an intelligent video and image analysis evaluation platform
for public security,
AVSS17(1-6)
IEEE DOI
1806
public administration, video signal processing,
video surveillance, IVIAEPPS, effective evaluation metrics,
Tools
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Xue, G.J.[Geng-Jian],
Wang, W.F.[Wen-Fei],
Shao, J.[Jie],
Liang, C.[Chen],
Wu, J.J.[Jin-Jing],
Yang, H.[Hui],
Zhang, X.T.[Xiao-Teng],
Mei, L.[Lin],
Hu, C.P.[Chuan-Ping],
Public Security Video and Image Analysis Challenge: A Retrospective,
BEST16(III: 441-452).
Springer DOI
1704
BibRef
Mann, S.,
Surveillance (Oversight), Sousveillance (Undersight), and
Metaveillance (Seeing Sight Itself),
MoveSurveillance16(1408-1417)
IEEE DOI
1612
BibRef
Per, J.[Janez],
Kenk, V.S.[Vildana Sulic],
Mandeljc, R.[Rok],
Kristan, M.[Matej],
Kovacic, S.[Stanislav],
Dana36: A Multi-camera Image Dataset for Object Identification in
Surveillance Scenarios,
AVSS12(64-69).
IEEE DOI
1211
Dataset,Surveillance.
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Birchbauer, J.A.,
Active video analytics one leap ahead applicability and entering new
dimensions,
AVSBS11(508-509).
IEEE DOI
1111
Industrial paper. What can really be done, focus on doable systems.
BibRef
Filipowicz, W.[Wiktor],
Habela, P.[Piotr],
Kaczmarski, K.[Krzysztof],
Kulbacki, M.[Marek],
A Generic Approach to Design and Querying of Multi-purpose Human Motion
Database,
ICCVG10(I: 105-113).
Springer DOI
1009
BibRef
Cristani, M.,
Murino, V.,
Vinciarelli, A.,
Socially intelligent surveillance and monitoring:
Analysing social dimensions of physical space,
SISM10(51-58).
IEEE DOI
1006
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Ko, T.,
A survey on behavior analysis in video surveillance for homeland
security applications,
AIPR08(1-8).
IEEE DOI
0810
BibRef
Haering, N.C.[Niels C.],
What Would You Pay for Automated Video Analysis?,
AVSBS09(286-286).
IEEE DOI
0909
BibRef
Garibotto, G.[Giovanni],
Video Surveillance and Biometric Technology Applications,
AVSBS09(288-288).
IEEE DOI
0909
BibRef
Ravichandran, A.[Avinash],
Wang, C.H.[Chao-Hui],
Raptis, M.[Michalis],
Soatto, S.[Stefano],
SuperFloxels: A Mid-level Representation for Video Sequences,
ARTEMIS12(III: 131-140).
Springer DOI
1210
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Raptis, M.[Michalis],
Kokkinos, I.[Iasonas],
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