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1
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0000470942
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Learning the distribution of object trajectories for event recognition
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N. Johnson and D. Hogg, "Learning the distribution of object trajectories for event recognition," presented at the Brit. Conf. Machine Vision, Birmingham, U.K., Sep. 1996.
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Brit. Conf. Machine Vision
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Johnson, N.1
Hogg, D.2
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R. Rosales and S. Sclaroff, Trajectory Guided Tracking and Recognition of Actions, Tech. Rep. 1999-002, Comput. Sci. Dept., Univ. Boston, Boston, MA, 2008 [Online]. Available: http://citeseer.ist.psu.edu/ rosales99trajectory.html
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4
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84949937406
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Statistical approach to clustering in pattern recognition
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presented at the, Athens, OH, Mar
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Y. Zeng and J. Starzyk, "Statistical approach to clustering in pattern recognition," presented at the 33rd Southeastern Symp. System Theory, Athens, OH, Mar. 2001.
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33rd Southeastern Symp. System Theory
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Zeng, Y.1
Starzyk, J.2
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5
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0035481858
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Self-organization in vision: Stochastic clustering for image segmentation, perceptual grouping, and image database organization
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Y. Gdalyahu, D. Weinshall, and M. Werman, "Self-organization in vision: Stochastic clustering for image segmentation, perceptual grouping, and image database organization," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 10, pp. 1053-1074, Oct. 2001.
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Gdalyahu, Y.1
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6
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Fuzzy c-means clustering on medical diagnostic systems
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presented at the, Turkey, Jul
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F. Amasyali and S. Albayrak, "Fuzzy c-means clustering on medical diagnostic systems," presented at the Int. 12th Turkish Symp. Artificial Intelligence and Neural Networks, Canakkale, Turkey, Jul. 2003.
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Int. 12th Turkish Symp. Artificial Intelligence and Neural Networks, Canakkale
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Amasyali, F.1
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Counting pedestrians in video sequences using trajectory clustering
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G. Antonini and J. Thiran, "Counting pedestrians in video sequences using trajectory clustering," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 8, pp. 1008-1020, Aug. 2006.
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Antonini, G.1
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Trajectory clustering with mixtures of regression models
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S. Gaffney and P. Smyth, "Trajectory clustering with mixtures of regression models," presented at the Int. Conf. Knowledge Discovery and Data Mining, San Diego, CA, Aug. 1999.
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Int. Conf. Knowledge Discovery and Data Mining
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Gaffney, S.1
Smyth, P.2
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Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space
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presented at the, Singapore, Sep
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S. Khalid and A. Naftel, "Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space," presented at the 3rd ACM Int. Workshop on Video Surveillance and Sensor Networks, Singapore, Sep. 2005.
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3rd ACM Int. Workshop on Video Surveillance and Sensor Networks
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Khalid, S.1
Naftel, A.2
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10
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33845335507
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Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space
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A. Naftel and S. Khalid, "Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space," Trans. Multimedia Syst., vol. 12, no. 3, pp. 227-238, Dec. 2006.
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Naftel, A.1
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Similarity based vehicle trajectory clustering and anomaly detection
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presented at the, Genova, Italy, Sep
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Z. Fu, W. Hu, and T. Tan, "Similarity based vehicle trajectory clustering and anomaly detection," presented at the IEEE Intl. Conf. Image Processing, Genova, Italy, Sep. 2005.
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IEEE Intl. Conf. Image Processing
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Fu, Z.1
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12
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A coarse-to-fine strategy for vehicle motion trajectory clustering
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X. Li, W. Hu, and W. Hu, "A coarse-to-fine strategy for vehicle motion trajectory clustering," presented at the Int. Conf. Pattern Recognition, Hong Kong, China, Aug. 2006.
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Int. Conf. Pattern Recognition
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Li, X.1
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13
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33846212241
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Real-time motion trajectory-based indexing and retrieval of video sequences
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F. Bashir, A. Khokhar, and D. Schonfeld, "Real-time motion trajectory-based indexing and retrieval of video sequences," IEEE Trans. Multimedia, vol. 9, no. 1, pp. 58-65, Jan. 2007.
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Bashir, F.1
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Trajectory pattern detection by HMM parameter space features and eigenvector clustering
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F. Porikli, "Trajectory pattern detection by HMM parameter space features and eigenvector clustering," presented at the 8th European Conf. on Computer Vision (ECCV), Prague, Czech Republic, May 2004.
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8th European Conf. on Computer Vision (ECCV)
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Porikli, F.1
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16
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Discovering clusters in motion time-series data
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presented at the, Madison, WI, Jun
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J. Alon, S. Sclaroff, G. Kollios, and V. Pavlovic, "Discovering clusters in motion time-series data," presented at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Madison, WI, Jun. 2003.
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IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
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Alon, J.1
Sclaroff, S.2
Kollios, G.3
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17
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0032316171
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Recognition and interpretation of parametric gesture
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A. D. Wilson and A. F. Bobick, "Recognition and interpretation of parametric gesture," presented at the IEEE 6th Int. Conf. Computer Vision, Bombay, India, Jan. 1998.
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IEEE 6th Int. Conf. Computer Vision
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Wilson, A.D.1
Bobick, A.F.2
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18
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A bayesian computer vision system for modeling human interactions
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N. Oliver, B. Rosario, and A. Pentland, "A bayesian computer vision system for modeling human interactions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 831-843, Aug. 2000.
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Oliver, N.1
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Probabilistic models for joint clustering and time warping of multi-dimensional curves
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D. Chudova, S. Gaffney, and P. Smyth, "Probabilistic models for joint clustering and time warping of multi-dimensional curves," presented at the 19th Conf. Uncertainty in Artificial Intelligence, Acapulco, Mexico, Aug. 2003.
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Chudova, D.1
Gaffney, S.2
Smyth, P.3
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20
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Learning spatio-temporal patterns for predicting object behaviour
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N. Sumpter and A. J. Bulpitt, "Learning spatio-temporal patterns for predicting object behaviour," presented at the British Conf. Machine Vision, Southampton, U.K., Sep. 1998.
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British Conf. Machine Vision
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Sumpter, N.1
Bulpitt, A.J.2
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3543105519
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Learning activity patterns using fuzzy self-organizing neural network
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W. Hu, D. Xie, T. Tan, and S. Maybank, "Learning activity patterns using fuzzy self-organizing neural network," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 3, pp. 334-352, Jun. 2004.
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Hu, W.1
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Combined compression and classification with learning vector quantization
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F. Bashir, A. Khokhar, and D. Schonfeld, Segmented trajectory based indexing and retrieval of video data, presented at the Int. Conf. Image Processing, Barcelona, Catalonia, Spain, Sep. 2003.
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F. Bashir, A. Khokhar, and D. Schonfeld, "Segmented trajectory based indexing and retrieval of video data," presented at the Int. Conf. Image Processing, Barcelona, Catalonia, Spain, Sep. 2003.
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25
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34347372619
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Object trajectory-based activity classification and recognition using hidden Markov models
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F. Bashir, A. Khokhar, and D. Schonfeld, "Object trajectory-based activity classification and recognition using hidden Markov models," IEEE Trans. Image Process., vol. 16, no. 7, pp. 1912-1919, Jul. 2007.
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IEEE Trans. Image Process
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Bashir, F.1
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26
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Mean shift: A robust approach toward feature space analysis
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May
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D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002.
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IEEE Trans. Pattern Anal Mach. Intell
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Distribution free decomposition of multivariate data
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Comaniciu, D.1
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0034857778
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The variable bandwidth mean shift and data-driven scale selection
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D. Comaniciu, V. Ramesh, and P. Meer, "The variable bandwidth mean shift and data-driven scale selection," presented at the IEEE Int. Conf. Computer Vision, Vancouver, BC, Canada, 2001.
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IEEE Int. Conf. Computer Vision
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Comaniciu, D.1
Ramesh, V.2
Meer, P.3
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29
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12844259642
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False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation
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H. Wang and D. Suter, "False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation," presented at the Int. Conf. Digital Image Computing: Techniques and Applications, Sydney, Australia, 2003.
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Int. Conf. Digital Image Computing: Techniques and Applications
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Wang, H.1
Suter, D.2
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