DocumentCode
2479358
Title
Trajectories normalization for viewpoint invariant gait recognition
Author
Jean, Frederic ; Bergevin, Robert ; Albu, Alexandra Branzan
Author_Institution
Comput. Vision & Syst. Lab., Laval Univ., Laval, QC, Canada
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
This paper proposes a method to obtain fronto-parallel (side-view) body part trajectories for a walk observed from an arbitrary view. The method is based on homography transformations computed for each gait half-cycle detected in the walk. Each homography maps the body part trajectories to a simulated side view of the walk. The proposed method is stable as the resulting normalized trajectories are not influenced by missing or omitted parts of the raw trajectories. Experiments confirm that normalized trajectories are in agreement with the ones that would be obtained from a side view.
Keywords
biometrics (access control); gait analysis; image motion analysis; image recognition; biometric technology; fronto-parallel body part trajectory normalization; homography transformation map; human walk detection; image recognition; viewpoint invariant gait recognition; Biometrics; Calibration; Cameras; Computational modeling; Computer vision; Image segmentation; Laboratories; Legged locomotion; Surveillance; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761312
Filename
4761312
Link To Document