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A. Blake, R. Curwen, and A. Zisserman. A framework for spatiotemporal control in the tracking of visual contours. International Journal of Computer Vision, 11(2):127--145, 1993.

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Detecting lameness using `Re-sampling Condensation' and.. - Roger   (Correct)

....vision was for object tracking [1] in an image sequence, in which models of an object (spatial and temporal) were fitted to an image sequence to obtain object properties over time. Propagating multiple hypotheses gave improved robustness over single hypothesis techniques such as Kalman filters [11]. Condensation has also been applied to the field of temporal modelling (prediction and classification) of objects. Johnson and Hogg [12] use condensation to propagate multiple prediction hypothesis for pedestrian trajectory classification. In this method, object tracking is performed by a ....

A. Blake, R. Curwen, A. Zisserman, A framework for spatiotemporal control in the tracking of visual contours, International Journal of Computer Vision 11 (1993) 127 -- 145.


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....Finally, this polygonal implementation is used in surface extraction and phytoplankton classi cation. 1 Introduction Since their introduction [5] active contour techniques have been used in many applications, including segmentation [3, 13] medical image analysis [2, 5, 6, 10] and tracking [1, 4]. The fundamental advantage of active contours is that constraints derived from image measurements and constraints derived from contour shape considerations may be combined in a single energy functional, which is minimized with respect to parameters describing the contour location. Contour ....

Blake, A., Curwen, R., and Zisserman, A. \A framework for spatiotemporal control in the tracking of visual contours." Int. J. of Computer Vision 11(2) pp. 127-145, 1993.


Data Fusion for Visual Tracking with Particles - Perez, Vermaak, Blake (2004)   (3 citations)  Self-citation (Blake)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatiotemporal control in the tracking of visual contours. Int. J. Computer Vision, 11(2):127--145, 1993.


Detecting and Tracking Linear Features Efficiently - Clarke, Carlsson, Zisserman (1996)   (7 citations)  Self-citation (Zisserman)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatiotemporal control in the tracking of visual contours. International Journal of Computer Vision, 11(2):127--146, October 1993.


Data Fusion for Visual Tracking with Particles - Perez, Vermaak, Blake (2004)   (3 citations)  Self-citation (Blake)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman, "A framework for spatiotemporal control in the tracking of visual contours," Int. J. Comput. Vis., vol. 11, no. 2, pp. 127--145, 1993.


Measurement of Brain Structures Based on Statistical.. - Ballester, Zisserman.. (1998)   Self-citation (Zisserman)   (Correct)

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Blake A., Curwen R., Zisserman A. A Framework for Spatiotemporal Control in the Tracking of Visual Contours. IJCV, 11(2):127-145, 1993. M. A. Gonzalez Ballester, A. Zisserman, and M. Brady


via Linear Interaction - Carlo Colombo James   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatiotemporal control in the tracking of visual contours. International Journal of Computer Vision, 11(2):127--145, 1993.


Unknown -   (Correct)

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Blake, A., Curwen, R., and Zisserman, A. \A framework for spatiotemporal control in the tracking of visual contours." Int. J. of Computer Vision 11(2) pp. 127-145, 1993.


A Survey - Human Movement Tracking and Stroke Rehabilitation - Zhou, Hu (2004)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatio-temporal control in the tracking of visual contour. Int. J. Computer Vision, pages 127--145, 1993.


Spatiotemporal Analysis Of Deformable Contours - Akgul (2000)   (1 citation)  (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatiotemporal control in the tracking of visual contours. International Journal of Computer Vision, 11(2):127--145, October 1993.


Methods of Global Optimization in the Tracking of Contours - Freedman, Brandstein (1999)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatio-temporal control in the tracking of visual contours. Int. J. Comp. Vis., 11(2):127--145, 1993.


On the Use of Linear Camera-Object . . . - Allotta (1999)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman, "A framework for spatiotemporal control in the tracking of visual contours," Int. J. Comput. Vision, vol. 11, no. 2, pp. 127--145, 1993.


A Subset Approach to Contour Tracking in Clutter - Freedman, Brandstein (1999)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatio-temporal control in the tracking of visual contours. Int. J. Comp. Vis., 11(2):127--145, 1993.


Variable Kernel Density Estimation of Color Invariant Images - Pap Er Id   (Correct)

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A. Zisserman, A. Blake, R. Curwen,. Zisserman, A. Blake, R. Curwen, A Framework for Spatio-Temporal Control in the Tracking of Visual Contours, in RealTime Computer Vision, C.M. Brown and D. Terzopoulos (eds), pp. 3-33, Cambridge University Press, 1994. 6


Fast Occluded Object Tracking by a Robust Appearance Filter - Nguyen, Smeulders (2004)   (1 citation)  (Correct)

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A. Blake, R. Curwen, and A. Zisserman, "A Framework for SpatioTemporal Control in the Tracking of Visual Contour," Int'l J. Computer Vision, vol. 11, no. 2, pp. 127-145, 1993.


Motion Detection and Tracking Using Belief Indicators - Motamed (2000)   (Correct)

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A.Black, R.Curwen, A.Zisserman, A framework for spatio-temporal control in tracking of visual contours, Int. J. Comp. Vision 11 (2) 1997, 127145.


Variable Kernel Density Estimation of Color Invariant Images - Gevers, Aldershoff   (Correct)

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A. Zisserman, A. Blake, R. Curwen,. Zisserman, A. Blake, R. Curwen, A Framework for Spatio-Temporal Control in the Tracking of Visual Contours, in Real-Time Computer Vision, C.M. Brown and D. Terzopoulos (eds), pp. 3-33, Cambridge University Press, 1994. 7


Contour Tracking in Clutter: A Subset Approach - Daniel Freedman And (1999)   (4 citations)  (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatio-temporal control in the tracking of visual contours. Int. J. Comp. Vis., 11(2):127--145, 1993.


An Adaptive Potential for Robust Shape Estimation - Nascimento, Marques (2001)   (Correct)

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A. Blake, R. Curwen and A. Zisserman, "A framework for Spatiotemporal Control in the Tracking of Visual Contours", in Int. Journal of Computer Vision, vol. 11(2), pp. 127-145, 1993.


Effective Tracking through Tree-Search - Freedman (2003)   (Correct)

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A. Blake, R. Curwen, and A. Zisserman, "A Framework for SpatioTemporal Control in the Tracking of Visual Contours," Int'l J. Computer Vision, vol. 11, no. 2, pp. 127-145, 1993.


IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE.. - Models Of Geometry (1997)   (2 citations)  (Correct)

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# A. Blake, R. Curwen, and A. Zisserman, "A Framework for Spatio -Temporal Control in the Tracking of Visual Contour," Int'l J. Computer Vision, vol. 11, no. 2, pp. 127--145, 1993.


Unknown -   (Correct)

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A. Blake, R. Curwen, and A. Zisserman. A framework for spatio-temporal control in the tracking of visual contours. Int. J. Comp. Vis., 11(2):127--145, 1993.


Unsupervised Contour Representation and Estimation.. - Figueiredo.. (2000)   (5 citations)  (Correct)

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A. Blake, R. Curwen, and Z. Zisserman, "A framework for spatiotemporal control in the tracking of visual contours," Int. J. Comput. Vis., vol. 11, no. 2, pp. 127--145, 1993.


Condensation-Based Contour Tracking with Sobolev Smoothness.. - Nava, Martel   (Correct)

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Blake, A., Curwen, R., Zisserman, A., (1993) A framework for spatio-temporal control in the tracking of visual contours. International Journal of Computer Vision, 11(2) 127-145.


Towards an Architecture for Cognitive Vision using.. - Cohn, Magee, Galata (2002)   (Correct)

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Blake, A., Curwen, R., Zisserman, A.: A framework for spatiotemporal control in the tracking of visual contours. International Journal of Computer Vision 11 (1993) 12145

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