Title :
Silhouettes versus skeletons in gesture-based authentication with Kinect
Author :
Wu, Junyong ; Ishwar, Prakash ; Konrad, Janusz
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., Boston, MA, USA
Abstract :
Since its release, the Kinect has been successfully used in gesture recognition. Recent work has extended Kinect´s use towards biometric user authentication based on face, speech, gait, and gestures. Our work expands on the last of these modalities - gestures, which have yielded promising authentication results in prior work. This paper aims to gain insight into how authentication methods that are based on silhouette features compare against those that are based on skeletal features in terms of trade-offs between authentication performance and robustness against some real-world degradations. On a dataset of 40 users that contains two types of degradations namely, user-memory and personal-effects (heavy coats, bags, etc.), we found that for user-defined gestures, skeletal features outperform silhouettes on average by 4.89% in terms of the Equal Error Rate (EER).
Keywords :
feature extraction; gesture recognition; interactive devices; EER; Kinect; equal error rate; gesture recognition; gesture-based authentication; personal-effect degradation; silhouette features; skeletal features; skeleton; user-memory degradation; Authentication; Covariance matrices; Degradation; Feature extraction; Joints; Vectors;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on
Conference_Location :
Seoul
DOI :
10.1109/AVSS.2014.6918651