1 |
Benezeth.Y, Jodoin P.M., Saligrama V, "Abnormal events detection based on spatio-temporal co-occurrences," in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2458-2465, 2009.
|
2 |
Chen L, Yuan Cao and Ronghua Ji, "Automatic Incident Detection Algorithm Based on Support Vector Machine," in Proc. of Sixth IEEE International Conference on Natural Computation, vol. 2, pp. 864-866, 2010.
|
3 |
Dong N, Zhen Jia, Jie Shao, "Traffic Abnormality Detection through Directional MotionBehaviour Map," in Proc. of Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 80-84, 2010.
|
4 |
Galata A, Johnson N., Hogg D.C., "Learning variable-length Markov Models of behaviour," Computer Vision and Image Understanding 81 (3), 398-413 , 2001.
DOI
|
5 |
Harwood D, Haritaoglu I and Larry S. Davis, "W4: Real-time surveillance of people and their activities," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, pp. 809-830, 2000.
DOI
|
6 |
Hoppner, F., "Knowledge discovery from sequential data," Ph.D. thesis, Technical University Braunschweig, Germany, 2003.
|
7 |
Hsu W L, Chang-Lung Tsai and Po-Lun Chang, "Automatic Traffic Monitoring Method Based on Cellular Model," in Proc. of Fifth IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 640-643, 2009.
|
8 |
Hu W, Wang L and Tan T., "Recent developments in human motion analysis and Pattern Recognition," in Elsevier Journal, vol. 36, pp. 585-601,2003.
DOI
|
9 |
C.R. Jung, L. Hennemann, S.R. Musse, "Event detection using trajectory clustering and 4-d histograms," IEEE Transactions on Circuits and Systems for Video Technology, 18 (11), 1565-1575, 2008.
DOI
|
10 |
Kamijo S, Harada M, Sakauchi M, "Incident Detection based on Semantic Hierarchy composed of the Spatio-Temporal MRF model and Statistical Reasoning," IEEE International Conference on Man and Cybernetics, vol.1 ,415-421, 2004.
|
11 |
Ki Y, Lee D, "A traffic accident recording and reporting model at Intersections," IEEE Transactions on Intelligent TransportationSystem, vol.8, issue. 2, pp.188-196, 2007.
DOI
|
12 |
Kim. J, Grauman K., "Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates," in Proc. of Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2921-2928, 2009.
|
13 |
Kuettel.D, Breitenstein, M.D.,VanGool, L., "What's going on? Discovering spatio-temporal dependencies in dynamic scenes," in Proc. of Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2010.
|
14 |
Leibe. B,Schindler, K.,Cornelis, N., "Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 10, pp. 1683-1698 , 2008.
DOI
|
15 |
Lin, C., Tai, J. and Song, K, "Traffic monitoring based on real-time image tracking," in Proceedings of the IEEE International Conference on Robotics & Automation, vol.2, pp. 2091-2096, 2003.
|
16 |
Loy.C.C,Tao Xiang, Shaogang Gong, "Stream-based active unusual event detection," in Proc. of proceedings of Springer on Computer Vision-ACCV 2010, pp. 161-175, 2011.
|
17 |
Loy. C.C, Xiang T., and Gong S., "From Local Temporal Correlation to Global Anomaly Detection," in Proc. of ECCV, International Workshop on Machine Learning for Vision-based Motion Analysis, 2008.
|
18 |
Manku G.S. and Rajeev Motwani, "Approximate Frequency Counts over Data Streams," in Proc. of the 28th VLDB Conference, Hong Kong, China, 2002.
|
19 |
Moskovitch, R. Shahar, Y., "Medical temporal-knowledge discovery via temporal abstraction," in Proc. of the American Medical Informatics Association (AMIA), 2009.
|
20 |
Moerchen, F., "Algorithms for time series knowledge mining," in Proc. of the international conference on Knowledge Discovery and Data mining (SIGKDD), 668-673, 2006.
|
21 |
Oliver.N.M, Rosario B., Pentland A.P., "A Bayesian computer vision system for modeling human interactions," IEEE Transactions on Pattern Analysis and Machine Intelligence 22, pp no. 831-843, 2000.
DOI
|
22 |
Papapetrou P., Kollios, G., Sclaroff S., "Discovering frequent arrangements of temporal intervals," in Proc. of the International Conference on Data Mining (ICDM), 2005.
|
23 |
Piciarelli C., Micheloni C. and Foresti G.L, "Trajectory-Based Anomalous Event Detection," IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, issue 11, pp. 1544-1554, 2008.
DOI
|
24 |
SacchiL, Cristiana Larizza, Carlo Combi, "Data mining with Temporal Abstractions: learning rules from time series," Data Mining and Knowledge Discovery, 2007.
|
25 |
Schindler. K., Schindler, K., Cornelis, N., "Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 10, pp. 1683-1698, 2008.
DOI
|
26 |
Shan kam P, Chee fu A. W., "Discovering temporal patterns for interval-based events," in Proc. of the International Conference on Data Warehousing and Knowledge Discovery (DaWaK),2000.
|
27 |
Stauffer. C and Grimson W., "Adaptive background mixture models for real-time tracking," in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 246-252, 1999.
|
28 |
Villafane R, Kien A. Hua, Duc Tran, "Knowledge discovery from series of interval events," Journal of Intelligent Information Systems 15, pp 71-89, 2000.
DOI
|
29 |
Swears, E., Hoogs A., and Perera, A.G.A, "Learning motion patterns in surveillance video using HMM clustering," in Proc. of IEEE Visual Motion Computing (Motion) Workshop, Copper Mountain/Colarado, pp.1-8, 2008.
|
30 |
Veeraraghavan, H., Schrater. P. and Papanikolopoulos N, "Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections," in Proc. of IEEE Conference on Control and Automation, 1167-1172, 2005.
|
31 |
Wang. X, Ma Xa, Grimson W.E.L., "Unsupervised activity perception in crowded and complicated scenes using hierarchical Bayesian models," IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 (3), 539-555, 2009.
DOI
|
32 |
Winarko E, Roddick J. F. "Armada - an algorithm for discovering richer relative temporal association rules from interval-based data," Data and Knowledge Engineering 63, pp 76-90, 2007.
DOI
|
33 |
Wu S.Y., Chen Y.L. "Mining non-ambiguous temporal patterns for interval-based events," IEEE Transactions on Knowledge and Data Engineering 19, pp 742-758, 2007.
DOI
|
34 |
Yao B, Wang L, Zhu S., "Learning a scene contextual model for tracking and abnormality detection," in Proc. of IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1-8 , 2008.
|
35 |
Zou Y,Guangyi Shi, Hang Shi, "Image sequences based traffic incident detection for signalled intersections using HMM," in Proc. of international Conference on Hybrid Intelligent Systems, 2009.
|
36 |
Xiaokun Li, Porikli, F.M. "A hidden Markov model framework for traffic event detection using video features," in Proc. of IEEE Conference on Image Processing, pp 1902-1907, 2004.
|
37 |
Gilbert. A, Illingworth. J. and Bowden, R, "Action Recognition Using Mined Hierarchical Compound Features," in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, Issue: 5, pp.883 -897, 2011.
DOI
|
38 |
Lili C, Kehuang Li, Jiapin Chen, "Abnormal Event Detection in Traffic Video Surveillance Based on Local Features," IEEE Transactions on Image and Signal Processing, vol.1, pp. 362-366, 2011.
|
39 |
Renxiang Li, Bing Zeng, and Ming L. Liou, "A new Three- step Search Algorithm for Block Motion Estimation," IEEE Trans, Circuits and Systems For Video Technology, Vol 4., no 4, , pp 438-442 , 1994.
DOI
|