Gait recognition using active shape models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4678 LNCS, Issue , 2007, Pages 384-394

  Cho, Woon ^a   Kim, Taekyung ^a   Paik, Joonki ^a  

^a Chung Ang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; DATA STRUCTURES; GAIT ANALYSIS; PARAMETER EXTRACTION; SHAPE OPTIMIZATION;

ACTIVE SHAPE MODEL (ASM) ALGORITHMS; ACTIVE SHAPE MODELS; NOISY SILHOUETTES;

IMAGE SEGMENTATION;

EID: 38349072203     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74607-2_35     Document Type: Conference Paper

References (9)

1. Phillips, P., Sarkar, S., Robledo, I., Grother, P., Bowyer, K.: The gait identification challenge problem: data sets and baseline algorithm. In: Proc. 2002 Int. Conf. Pattern Recognition, pp. 385-388 (2002)
2. Phillips, P., Sarkar, S., Robledo, I., Grother, P., Bowyer, K.: Baseline results for the challenge problem of human id using gait analysis. In: Proc. 2002 Int. Conf. Automatic Face, Gesture Recognition, pp. 137-142 (2002)
3. Sarkar, S., Phillips, P., Liu, Z., Robledo, I., Grother, P., Bowyer, K.: The HumanID gait challenge problem: data sets, Performance, and analysis. IEEE Trans. Pattern Analysis, Machine Intelligence, 167-177 (2005)
4. Cootes, T., Taylor, C., Cooper, D., Graham, J.: Training models of shape from sets of examples. In: Proc 1992 Int. Conf. British Machine Vision, pp. 9-18. Springer, Heidelberg (1992)
5. Stegmann, M., Gomez, D.: A brief introduction to statistical shape analysis. Informatics, Mathematical Modeling 1-15 (2002)
6. Shin, J., Kim, S., Kang, S., Lee, S., Paik, J., Abidi, B., Abidi, M.: Optical flow-based real-time object tracking using non-prior training active feature model. 2005 Real-Time Image, 204-218 (2005)
7. Boulgouris, N., Hatzinakos, D., Plataniotis, K.: Gait recognition a challenging signal processing technology for biometric identification. IEEE Signal Processing Magazine, 78-90 (2005)
8. Nixon, M., Tan, T., Chellappa, R.: Human Identification Based on Gait. Springer, Heidelberg (2006)
9. Lee, S., Kang, J., Shin, J., Paik, J.: Hierarchical active shape model with motion prediction for real-time tracking of non-rigid objects. IET Computer Vision, 17-24 (2007)