General framework for human object detection and pose estimation in video sequences

This paper presents a real-time object detection and pose estimation system. The main idea is to unify the detection and pose estimation processes into a tree classifier. The tree classifier uses Haar-like feature and has been trained using a boosting algorithm with a pose estimation step. The estimation step has been used only when the positive samples were not homogeneous and when the splitting improves the discriminative power compared to a single monolithic node classifier and has lower computational complexity.

[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).