3D human posture estimation using the HOG features from monocular image

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Onishi, Katsunori ^a   Takiguchi, Tetsuya ^a   Ariki, Yasuo ^a  

^a KOBE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; REGRESSION ANALYSIS; RELIABILITY ANALYSIS;

3D HUMAN POSTURES; BACKGROUND REGION; FEATURE DIMENSIONS; FEATURE VECTORS; HISTOGRAMS OF ORIENTED GRADIENTS (HOG); MONOCULAR CAMERAS; MONOCULAR IMAGE; SHAPE CONTEXTS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77957967541     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761608     Document Type: Conference Paper

References (6)

1. M. Lee, I. Cohen. A Model-Based Approach for Estimating Human 3D Poses in Static Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL.28, No.6, 2006.
2. A. Agarwal and B. Triggs. 3D Human Pose from Silhouettes by Relevance Vector Regression. IEEE Conference on Computer Vision and Pattern Recognition, 882-888, 2004.
3. G. Mori and J. Malik. Recovering 3D Human Body Configurations using Shape Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL.28, No.7, 1052-1062, 2006.
4. G. Mori and J. Malik. Estimating Human Body Configurations using Shape Context Matching. European Conference on Computer Vision, 150-180, 2002.
5. N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. IEEE Computer Vision and Pattern Recognition, 886-893, 2005.
6. D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60(2), 91-110, 2004.