Gait Recognition Based on Silhouette, Contour and Classifier Ensembles
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Automatic Gait Recognition Using Weighted Binary Pattern on Video
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Identification of humans using infrared gait recognition
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Fast communication: Active energy image plus 2DLPP for gait recognition
Signal Processing
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
An efficient gait recognition with backpack removal
EURASIP Journal on Advances in Signal Processing
Gait flow image: A silhouette-based gait representation for human identification
Pattern Recognition
Walker recognition without gait cycle estimation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Uniprojective features for gait recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
A survey of video datasets for human action and activity recognition
Computer Vision and Image Understanding
| Hi-index | 0.00 |
Gait is a useful biometric which can be used to recognize people at a distance when other biometrics are incapable. However, most work on gait recognition has been visible spectrum-oriented over the past decade, ignoring recognition at night which is in reality demandimperative. This paper deals with the problem of night gait recognition via thermal infrared imagery. First of all, human detection is accomplished, based on the Gaussian mixture modeling of the background. Then, human silhouettes are extracted on the basis of preceding detection results. Moreover, a new gait representation called HTI is proposed to characterize gait signatures for recognition. An infrared night gait database was built to provide a foundation for night gait recognition. Experimental results on two gait datasets show the effectiveness of this method.