Human recognition at a distance in video by integrating face profile and gait

Lecture Notes in Computer Science

Volumn 3546, Issue , 2005, Pages 533-543

  Zhou, Xiaoli ^a   Bhanu, Bir ^a   Han, Ju ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; GAIT ANALYSIS; IMAGE PROCESSING; INFORMATION ANALYSIS; SECURITY OF DATA; VISUALIZATION;

CURVATURE-BASED MATCHING METHOD; GAIT ENERGY IMAGE (GEI); HUMAN WALKING PROPERTIES; VISUAL SURVEILLANCE;

FACE RECOGNITION;

EID: 26444539788     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11527923_55     Document Type: Conference Paper

References (12)

1. Kale, A., Roychowdhury, A.K., Chellappa, R.: Fusion of gait and face for human identification. Acoustics, Speech, and Signal Processing, 2004. Proceedings. 5 (2004) 901-904
2. Shakhnarovich, G., Lee, L., Darrell, T.: Integrated face and gait recognition from multiple views. Computer Vision and Pattern Recognition, 2001. Proceedings. 1 (2001) 439-446
3. Shakhnarovich, G., Darrell, T.: On probabilistic combination of face and gait cues for identification. Automatic Face and Gesture Recognition, 2002. Proceedings. 5 (2002) 169-174
4. Bhanu, B., Zhou, X.L.: Face recognition from face profile using dynamic time warping. 17th International Conference on Pattern Recogntion. 4 (2004) 499-502
5. Han, Ju, Bhanu, B.:Statistical feature fusion for gait-based human recognition. Computer Vision and Pattern Recognition, 2004. Proceedings. 2 (2004) 842-847
6. Kittler, J., Hatef, M., Duin, R., Matas, J.: On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 (1998) 226-239
7. Zuev, Y., Ivanon, S.: The voting as a way to increase the decision reliability. Foundations of Information/Decision Fusion with Applications to Engineering Problems. 20 (1996) 206-210
8. Tsai, R.Y., Huang, T.S.: Multiframe image resoration and registration. Advances in Computer Vision and Image Processing(T.S. Huang, ed.), JAI Press Inc. (1984)
9. Borman, S., Stevenson, R.: Spatial resolution enhancement of low-resolution image sequences - a comprehensive review with directions for future research. University of Notre Dame, Tech. Rep. (1998)
10. Park, S. C., Park, M. K., Kang, M. G.: Super-resolution image reconstruction: A technical overview. IEEE Signal Processing Magazine. 20 (2003) 21-36
11. Irani, M., Peleg, S.: Motion analysis for image enhancement: Resolution, occlusion and transparency. Journal of Visual Communication and Image Representation. 4 (1993) 324-335
12. Irani, M., Peleg, S.: Improving resolution by image registration. CVGIP: Graphical Models and Image Processing. 53 (1991) 231-239