К.Л. Тассов, Д.Е. Бекасов
16
[9] Stauffer C., Grimson W.E.L. Learning patterns of activity using real-time track-
ing.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2000,
pp. 747–757.
[10] Nevatia Wu R. Detection of multiple, partially occluded humans in a single im-
age by bayesian combination of edgelet part detectors.
In Proceedings of Inter-
national Conference on Computer Vision. Washington, IEEE Computer Socie-
ty
, 2005, pp. 90–97.
[11] Sundararajan K. Unified point-edgelet feature tracking.
A Thesis Presented to
the Graduate School of Clemson University In Partial Fulfillment of the Re-
quirements for the Degree Master of Science Electrical Engineering
, 2011.
[12] Bar-Shalom Y., Fortmann T.
Tracking and Data Association
. New York, Aca-
demic Press, 1988.
[13] Comaniciu D., Ramesh V., Meer P.
Kernel-based object tracking
. IEEE Trans-
action on Pattern Analysis and Machine Intelligence, 2003, pp. 564–577.
[14] Koller D., Danilidis K., Nagel H. Model-based object tracking in monocular
image sequences of road traffic scenes.
International Journal of Computer Vi-
sion
, 1993, pp. 257–281.
[15] Sundaresan A., Chellappa R.. Multi-camera tracking of articulated human mo-
tion using shape and motion cues.
IEEE Transactions on Image Processing
,
2009, pp. 2114–2126.
[16] Beymer D., McLauchlan P., Coifman B., Malik J. A real-time computer vision
system for measuring traffic parameters.
Proceedings of Computer Vision and
Pattern Recognition (CVPR)
, San Juan, Puerto Rico, 1997, pp. 495–501.
[17] Isard M., Blake A. Condensation — conditional density propagation for visual
tracking.
International Journal of Computer Vision
, 1998, pp. 5–28.
[18] Xiao J., Baker S., Matthews I. and Kanade T. Image on 3D AAM from real-
time combined 2D+3D active appearance models.
Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition
. Washington, DC,
2004, pp. 535–542.
[19] Shi J., Tomasi C. Good features to track.
Proceedings of the IEEE Conference
on Computer Vision and Pattern Recognition
. Seattle, USA, 1994, pp. 593–
600.
[20] Freeman W.T., Roth M. Orientation histograms for hand gesture recognition.
Proceedings of the Workshop on Automatic Face and Gesture Recognition
.
Zurich, Switzerland, 1995, pp. 296–301.
[21] Lowe D.G. Object recognition from local scale-invariant features.
Proceedings
of the International Conference on Computer Vision
. Corfu, Greece, 1999,
pp. 1150–1157.
[22] Zhou S., Chellappa R., Moghaddam B. Visual tracking and recognition using
appearance-based modeling in particle filters.
IEEE Transactions on Image
Processing
, 2004, pp. 491–1506.
[23] Maggio E., Cavallaro A. Hybrid particle filter and mean shift tracker with adap-
tive transition model.
Proceedings of the IEEE International Conference on
Acoustics, Speech and Signal Processing
, vol. 2. Philadelphia, PA, 2005,
pp. 221–224.
[24] Kalal Z., Mikolajczyk K., Matas J. Tracking-Learning-Detection.
IEEE trans-
actions on pattern analysis and machine intelligence
, 2010, vol. 6, no. 1, pp. 1–
14.
[25] Rahimi L., P. Morency, T. Darrell. Reducing drift in differential tracking.
Computer Vision and Image Understanding
, 2008, vol. 109, no. 2, pp. 97–111.
