Computing View-normalized Body Parts Trajectories

Computing View-normalized Body Parts Trajectories

This paper proposes an approach to compute view normalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajectories of both feet and of the head from tracked silhouettes. On that basis, it segments the walking trajectory into piec...

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Bibliographic Details
Published in:Fourth Canadian Conference on Computer and Robot Vision (CRV '07) pp. 89 - 96
Main Authors: Jean, F., Bergevin, R., Albu, A.B.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2007
Subjects:
Biometrics
Cameras
Computer vision
Head
Humans
Laboratories
Legged locomotion
Surveillance
Trajectory
Video sequences
Online Access:Get full text
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Summary:This paper proposes an approach to compute view normalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajectories of both feet and of the head from tracked silhouettes. On that basis, it segments the walking trajectory into piecewise linear segments. Finally, a normalization process is applied to head and feet trajectories over each obtained straight walking segment. View normalization makes head and feet trajectories appear as if seen from a fronto-parallel viewpoint. The latter is assumed to be optimal for gait modeling and recognition purposes. The proposed approach is fully automatic as it requires neither manual initialization nor camera calibration.
ISBN:9780769527864
0769527868
DOI:10.1109/CRV.2007.19