| S. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking groups of people," CVIU 80, pp. 42--56, October 2000. |
....right number of Gaussians for the assumed model (model selection) Nonparametric techniques using histograms have been widely used for modeling the color of objects for different applications to overcome the previously mentioned problems with parametric models. Color histograms have been used in [32] for people tracking. Color histograms have also been used in [31] for tracking hands, in [26] for color region tracking and in [33] for skin detection. The major drawback with color histograms is the lack of convergence to the right density function if the data set is small. Another major ....
....to the group. It is able to count the number of people in the groups as long as their heads appear as part of the outer silhouette of the group; it fails otherwise. The Hydra system was not intended to accurately segment the group into individuals nor does it recover depth information. In [32], groups of people were segmented based on the individuals color distribution where the color distribution of the whole person was represented by a histogram. The color features are represented globally and are not spatially localized; therefore, this approach loses spatial information about the ....
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S. J. McKenna, S. Jabri, Z. Duric, and A. Rosenfeld, "Tracking groups of people," Comput. Vision Image Understanding, no. 80, pp. 42--56, 2000.
....This technique was used in [11, 12] for color based tracking of a single blob and was applied to tracking faces. Mixture of Gaussian techniques face the problem of choosing the right number of Gaussians for the assumed model. Non parametric techniques using histograms have also been used in [13]. In this work they used 3 dimensional adaptive histograms in RGB space to model the color of the whole person. Color histograms have also been used in [14] for tracking hands. The major drawback with color histograms is the lack of convergence to the right density function if the data set is ....
S. J. McKenna, S. Jabri, Z. Duric, and A. Rosenfeld, "Tracking groups of people," Computer Vision and Image Understanding, no. 80, pp. 42--56, 2000.
.... models [12] because they offer dynamic time warping and a clear Bayesian semantics for both individual (HMM) and interacting or coupled (CHMM) generative processes [61] Finally, some authors have implemented systems that combine detection, tracking, and recognition [2] 15] 20] 37] 39] [57], 58] 68] A second set of criteria that can be used for classifying research on human motions is based on how to model humans. Humans have been modeled as elongated, blob like shapes either implicitly [20] 37] 39] 57] 58] 68] or explicitly [30] 62] 66] Deformable models have ....
....detection, tracking, and recognition [2] 15] 20] 37] 39] 57] 58] 68] A second set of criteria that can be used for classifying research on human motions is based on how to model humans. Humans have been modeled as elongated, blob like shapes either implicitly [20] 37] 39] [57], 58] 68] or explicitly [30] 62] 66] Deformable models have been utilized for body part (hand) and facial feature tracking [12] 73] 86] Some authors have modeled humans as articulated stick figures [2] 51] 53] 71] 81] this approach has been particularly effective for moving ....
[Article contains additional citation context not shown here]
S. J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking groups of people," Comput. Vis. Image Understanding, vol. 80, pp. 42--56, 2000.
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S. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking groups of people," CVIU 80, pp. 42--56, October 2000.
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S. Mckenna, S. Jabri, Z. Duric and A. Rosenfeld, "Tracking groups of people", Computer Vision and Image Understanding, No.80, pp. 42-56, 2000.
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S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking Groups of People," Computer Vision and Image Understanding, vol. 80, no. 1, pp. 42-56, Oct. 2000.
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S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler. "Tracking Groups of People". Computer Vision and Image Understanding, vol. 80 pp. 42--56, 2000.
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S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking Groups of People," Computer Vision and Image Understanding, vol. 80, no. 1, pp. 42-56, Oct. 2000.
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Stephen J. McKenna, Sumer Jabri, Zoran Duric, and Azriel Rosenfeld, "Tracking groups of people," Computer Vision and Image Understanding, , no. 80, pp. 42--56, 2000.
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S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld and H. Wechsler, Tracking groups of people, CVIU 80(1) (2000), 42--56.
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S. J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking groups of people," Computer Vision and Image Understanding, vol. 80, no. 1, pp. 42-- 56, October 2000.
No context found.
S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking groups of people," Computer Vision and Image Understanding, vol. 80, no. 1, pp. 42--56, Oct. 2000.
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