| Paper Abstract and Keywords |
| Presentation |
2020-09-17 16:18
Evaluation of Projective Distortion Robustness of Gait Analysis based on 3D Camera Parameter Calibration
Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Silhouette-based gait analysis is a technique for identifying whether two pedestrian videos depict the same person. However, when the pedestrian is captured close to the camera, projective distortion causes their shape to change nonlinearly. This shape change can make it difficult to correctly determine if it is the same person, even if the camera viewing angle with respect to the person is only slightly different. In this study, we proposed a gait analysis method in which the shooting angle, which is a three-dimensional (3D) camera parameter, of each pedestrian video was first calibrated and then the silhouette video for learning was computed (perspective projection or simulation) from a four-dimensional (3D + time) gait database so that the view angle of the silhouette corresponds to that of each video. We examined the person identification rate of the proposed gait analysis and the relationship between the degree of the projective distortion and the degree of improvement in the individual identification accuracy using the proposed method. Consequently, the proposed method was found to be effective when the projective distortion was strong, i.e., when the pedestrian is close to the camera. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
3D Camera Parameter Calibration / Projective Distortion / Gait Analysis / Silhouette-based Method / Forensics / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, pp. 27-30, Sept. 2020. |
| Paper # |
|
| Date of Issue |
2020-09-10 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
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