| 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 |
| Download PDF |
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| Conference Information |
| Committee |
IIEEJ AIT |
| Conference Date |
2020-09-17 - 2020-09-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IIEEJ |
| Conference Code |
2020-09-IIEEJ-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Evaluation of Projective Distortion Robustness of Gait Analysis based on 3D Camera Parameter Calibration |
| Sub Title (in English) |
|
| Keyword(1) |
3D Camera Parameter Calibration |
| Keyword(2) |
Projective Distortion |
| Keyword(3) |
Gait Analysis |
| Keyword(4) |
Silhouette-based Method |
| Keyword(5) |
Forensics |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Daisuke Imoto |
| 1st Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
| 2nd Author's Name |
Kenji Kurosawa |
| 2nd Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
| 3rd Author's Name |
Masakatsu Honma |
| 3rd Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
| 4th Author's Name |
Ryo Yokota |
| 4th Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
| 5th Author's Name |
Manato Hirabayashi |
| 5th Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
| 6th Author's Name |
Yoshinori Hawai |
| 6th Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
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| Speaker |
Author-1 |
| Date Time |
2020-09-17 16:18:00 |
| Presentation Time |
24 minutes |
| Registration for |
IIEEJ |
| Paper # |
AIT2020-169 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.22 |
| Page |
pp.27-30 |
| #Pages |
4 |
| Date of Issue |
2020-09-10 (AIT) |