Presenter: Daigo Muramatsu
“Cross-view Gait Recognition”
Abstract: Gait recognition is a biometric method used to recognize a person from their walking style, which can be acquired from a camera. Unlike many biometric techniques such as fingerprint, iris or face recognition, gait recognition can authenticate a person some distance from the camera, because it has high accuracy even when the resolution of an image sequence is relatively low. However, the accuracy of gait recognition is often degraded by view difference. In this talk, we focus on the view issue of gait recognition and discuss some solution against accuracy degradation caused by the view difference.
Presenter: Ikuhisa Mitsugami
“3-D Measurement and Analysis of Walking Person by Range Sensing”
Abstract: Consumer depth sensors, e.g. Microsoft Kinects, are getting more attention because of their low cost and ability to obtain 3-D measurements. We adopt such depth sensors for gait analysis. In this talk, we introduce some of our achievements. One of the recent achievements is full body reconstruction of a walking person. Since the scene is dynamic, we cannot achieve the full body reconstruction only by merging asynchronous range data of Kinects. We thus propose a synchronization method to virtually obtain depth data at the same moment. We also introduce a new gait feature representation based on range observation. It is basically an extension of an existing silhouette-based feature, but shows promising performance in person authentication task.