General framework for human object detection and pose estimation in video sequences
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[1] Tomaso A. Poggio,et al. Example-Based Object Detection in Images by Components , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Tomaso A. Poggio,et al. A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[3] Emil M. Petriu,et al. Real-time 2(1/2)-D head pose recovery for model-based video-coding , 2001, IEEE Trans. Instrum. Meas..
[4] Luhong Liang,et al. A detector tree of boosted classifiers for real-time object detection and tracking , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[5] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .
[6] Dariu Gavrila,et al. The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..
[7] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[8] Yuan Li,et al. Vector boosting for rotation invariant multi-view face detection , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[9] Dariu Gavrila,et al. Real-time object detection for "smart" vehicles , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[10] Rainer Lienhart,et al. An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.
[11] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[12] Paul A. Viola,et al. Fast Multi-view Face Detection , 2003 .
[13] Rainer Lienhart,et al. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection , 2003, DAGM-Symposium.
[14] Feng Han,et al. Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).