Towards feature fusion for human identification by gait

Proceedings of the 4th International Conference on Image and Graphics, ICIG 2007

Volumn , Issue , 2007, Pages 678-682

  Chen, Shi ^a   Huang, Wanhong ^a   Tianjun, Ma ^b   Dong, Laicang ^a  

^a ZHEJIANG WANLI UNIVERSITY   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; COMPUTATIONAL GEOMETRY; FUSION REACTIONS; GAIT ANALYSIS; GRAPHIC METHODS; NUCLEAR PHYSICS; SIGNAL PROCESSING; STATISTICAL METHODS;

DYNAMIC PROPERTIES; DYNAMIC TIME WARPING (DTW); EXTRACTION METHODS; FEATURE CLASSIFICATION; FEATURE FUSION; FUSION RULES; GAIT FEATURES; HUMAN IDENTIFICATION; HUMAN MOTIONS; HUMAN RECOGNITION; HUMAN SILHOUETTE; INDIVIDUAL (PSS 544-7); INTERNATIONAL CONFERENCES; PERIOD ESTIMATION; RECOGNITION PERFORMANCE; SCALE AND ROTATION; SHAPE DESCRIPTOR; STATISTICAL FEATURES;

FEATURE EXTRACTION;

EID: 47349127050     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIG.2007.27     Document Type: Conference Paper

References (10)

1. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4):509-522, 2002.
2. J. Boyd. Synchronization of oscillations for machine perception of gaits. Computer Vision and Image Understanding, 96(1):35-59, 2004.
3. S. Chen, T. Ma, Y. Gao, and L. Dong. Human gait recognition based on shape context descriptor. Pattern Recognition and Artificial Intelligence, Revised. (in Chinese).
4. A. Kale, N. Cuntoor, B. Yegnanarayana, A. N. Rajagopalan, and R. Chellappa. Gait analysis for human identification. In 4th International Conference on Audio- and Video-Based Biometric Person Authentication, pages 706-714, Guildford, UK, 2003.
5. S. D. Mowbray and M. S. Nixon. Automatic gait recognition via fourier descriptors of deformable objects. In 4th International Conference on Audio- and Video-Based Biometric Person Authentication, pages 566-573, Guildford, UK, 2003.
6. J. Puzicha, J. M. Buhmann, Y. Rubner, and C. Tomasi. Empirical evaluation of dissimilarity measures for color and texture. In IEEE International Conference on Computer Vision, volume 2, pages 1165-1172, Kerkyra, Greece, 1999.
7. S. Sarkar, P. J. Phillips, Z. Liu, I. R. Vega, P. Grother, and K. W. Bowyer. The humanid gait challenge problem: data sets, performance, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2):162-177, 2005.
8. J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter. On a large sequence-based human gait database. In 4th International Conference on Recent Advances in Soft Computing, pages 66-71, Nottingham (UK), 2002.
9. D. K. Wagg and M. S. Nixon. On automated model-based extraction and analysis of gait. In Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pages 11-16, Seoul, Korea, 2004.
10. L. Wang, T. Tan, H. Ning, and W. Hu. Silhouette analysis-based gait recognition for human identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(12):1505-1518, 2003.