Trajectories normalization for viewpoint invariant gait recognition

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.

[1]  Dimitris N. Metaxas,et al.  Human Gait Recognition , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[2]  Tieniu Tan,et al.  Gait analysis for human identification in frequency domain , 2004, Third International Conference on Image and Graphics (ICIG'04).

[3]  Robert Bergevin,et al.  Body tracking in human walk from monocular video sequences , 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

[4]  James W. Davis,et al.  Multiview fusion for canonical view generation based on homography constraints , 2006, VSSN '06.

[5]  Yasushi Makihara,et al.  Adaptation to Walking Direction Changes for Gait Identification , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[6]  Fabio Cuzzolin Using Bilinear Models for View-invariant Action and Identity Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[7]  Mark S. Nixon,et al.  Human Perambulation as a Self Calibrating Biometric , 2007, AMFG.

[8]  Robert Bergevin,et al.  Computing View-normalized Body Parts Trajectories , 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).

[9]  Dimitris N. Metaxas,et al.  Human gait recognition at sagittal plane , 2007, Image Vis. Comput..