Person identification from spatio-temporal 3D gait

Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems

Volumn , Issue , 2010, Pages 30-35

  Iwashita, Yumi ^a   Baba, Ryosuke ^a   Ogawara, Koichi ^a   Kurazume, Ryo ^a  

^a KYUSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELS; AFFINE MOMENT INVARIANTS; ARBITRARY DIRECTION; CLASSIFICATION RATES; GAIT FEATURES; MULTIPLE CAMERAS; ONE CAMERA; PERSON IDENTIFICATION; SPATIO-TEMPORAL; TRAINING DATASET; TRANSFORMATION MODEL; VIEW TRANSFORMATIONS; VIRTUAL IMAGES; WALKING DIRECTION;

CAMERAS; DATABASE SYSTEMS; GAIT ANALYSIS; IMAGE PROCESSING; ROBOTICS; ROBOTS;

THREE DIMENSIONAL;

EID: 78649397851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EST.2010.19     Document Type: Conference Paper

References (10)

1. J. Acquah, M. Nixon, and J. Carter. Automatic gait recognition by symmetry analysis. Pattern Recognition Letters, 24:2175-2183, 2003.
2. I. Bouchrika and M. Nixon. People detection and recognition using gait for automated visual surveillance. Proc. IEE Inter. Symp. Imaging for Crime Detection and Prevention, 2006.
3. D. Cunado, M. Nixon, and J. Carter. Automatic extraction and description of human gait models for recognition purposes. CVIU, 90(1):1-41, 2003.
4. J. Flusser and T. Suk. Pattern recognition by affine moment invariants. Pattern Recognition, 26(1):167-17, 1993.
5. J. Flusser, T. Suk, and B. Zitova. Moments and Moment Invariants in Pattern Recognition. Wiley & Sons Ltd., Erewhon, NC, 2009.
6. Y. Iwashita and R. Kurazume. Person identification from human walking sequences using affine moment invariants. Proc. IEEE Int. Conf. Robotics and Automation, pages 436-441, 2009.
7. A. Kale, A. Roy-Chowdhury, and R. Chellappa. Towards a view invariant gait recognition algorithm. Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, pages 143-150, 2003.
8. S. Lee, Y. Liu, and R. Collins. Shape variation-based frieze pattern for robust gait recognition. Proc. CVPR, 2007.
9. W. Martin and J. Aggarwal. Volumetric description of objects from multiple views. IEEE Trans. Pattern Analysis and Machine Intelligence, 5(2):150-158, 1983.
10. K. Sugiura, Y. Makihara, and Y. Yagi. Omnidirectional gait identification by tilt normalization and azimuth view transformation. Proc. of the IEEE Workshop on OMNIVIS, 2008.