Wonjin Kim
ABSTRACT
Gait is a pattern of biometric movement for human identification. Unlike other biometrics such as fingerprint, iris, face, and voice recognition, human gait can be captured with unobtrusive method. In this paper, several measurements are proposed which uses body frame information in 3D space. Body frame data is generated from depth images captured using Kinect camera. The generated body frames are used for human gait analysis. The angle of lower body parts is measured in a gait cycle. In addition, the length of body parts is measured as a feature for combination with the angle measurements. The measurements are compared to each other from 5 subjects who have similar body type. The difference from comparison of the measurements indicates that the human gait has a potential pattern for human identification.
- Jain, A.K., Hong, L., Pankanti, S., Bolle, R., An identity-authentication system using fingerprints. in Proceedings of the IEEE, vol.85, no.9, pp.1365--1388, Sep 1997. Google Scholar
Cross Ref
- Neha Kak, Rishi Gupta., Sanchit Mahajan., Iris Recognition System. In International Journal of Advanced Computer Science and Applications, vol. 1, no. 1, 2010.Google ScholarCross Ref
- Roberto Brunelli., Tomaso Poggio., Face recognition: features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993. Google ScholarDigital Library
- L. R. Rabiner., B. H. Juang., Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, N.J, 1993.Google Scholar
- Sabesan Sivapalan., Daniel Chen., Simon Denman., Sridha Sridharan., Clinton Fookes., Gait energy volumes and frontal gait recognition using depth images. In international joint conference on Biometrics, IEEE, 2011.Google Scholar
- S. Niyogi., E. Adelson., Analyzing and Recognizing Walking Figures in XYT. In Proceedings of the Conference on Computer Vision and Pattern Recognition, pages 469--174, 1994.Google Scholar
- Jim Little., Jeffrey E. Boyd., Recognizing People by Their Gait: the Shape of Motion, in Journal of Computer Vision Research; Quarterly Journal, 1996.Google Scholar
- Microsoft SDK for Kinect: http://research.microsoft.com/enus/um/redmond/proiects/kinectsdk/Google Scholar
- Ke Yang, Yong Doua, and Shaohe Lva: Relative Distance Features for Gait Recognition with Kinect. Journal of Visual Communication and Image Representation, Pages 209--217, 2016. Google ScholarDigital Library
- Naresh Kumar and R. Venkatesh Babu: Human Gait Recognition Using Depth Camera: A Covariance Based Approach. ICVGIP '12, December 16--19, 2012. Google ScholarDigital Library
Index Terms
- Gait Recognition for Human Identification using Kinect
Recommendations
Human gait recognition using depth camera: a covariance based approach
ICVGIP '12: Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image ProcessingGait is an important biometric modality for recognizing humans. Unlike other biometrics, human gait can be captured at a distance which makes it an unobtrusive method for recognition. In this paper, an unrestricted gait recognition algorithm is proposed ...
Improved gait recognition with automatic body joint identification
IVIC'11: Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part IGait recognition is an unobtrusive biometric, which allows identification of people from a distance by the manner in which they walk. In this paper, a new approach is proposed for extracting human gait features based on body joint identification from ...
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02: Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture RecognitionOur goal is to establish a simple baseline method for human identification based on body shape and gait. This baseline recognition method provides a lower bound against which to evaluate more complicated procedures. We present a viewpoint dependent ...
Comments