Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human gait recognition based on matching of body components
Pattern Recognition
Outdoor recognition at a distance by fusing gait and face
Image and Vision Computing
Depth silhouettes for gesture recognition
Pattern Recognition Letters
A full-body layered deformable model for automatic model-based gait recognition
EURASIP Journal on Advances in Signal Processing
Frame difference energy image for gait recognition with incomplete silhouettes
Pattern Recognition Letters
Behavior detection using confidence intervals of hidden Markov models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reduced-reference IQA in contourlet domain
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Biologically inspired feature manifold for gait recognition
Neurocomputing
No-reference image quality assessment in contourlet domain
Neurocomputing
Human silhouette extraction method using region based background subtraction
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Applications of a simple characterization of human gait in surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
International Journal of Computer Vision
Phase registration of a single quasi-periodic signal using self dynamic time warping
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Modelling the time-variant covariates for gait recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Accurate foreground extraction using graph cut with trimap estimation
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Dual phase learning for large scale video gait recognition
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Human eyebrow recognition in the matching-recognizing framework
Computer Vision and Image Understanding
Gait recognition based on shape and motion analysis of silhouette contours
Computer Vision and Image Understanding
Pipeline-Architecture Based Real-Time Active-Vision for Human-Action Recognition
Journal of Intelligent and Robotic Systems
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Gait as a behavioral biometric has been the subject of recent investigations. However, understanding the limits of gait-based recognition and the quantitative study of the factors effecting gait have been confounded by errors in the extracted silhouettes, upon which most recognition algorithms are based. To enable us to study this effect on a large population of subjects, we present a novel model based silhouette reconstruction strategy, based on a population based hidden Markov model (HMM), coupled with an eigen-stance model, to correct for common errors in silhouette detection arising from shadows and background subtraction. The model is trained and benchmarked using manually specified silhouettes for 71 subjects from the recently formulated HumanID Gait Challenge database. Unlike other essentially pixel-level silhouette cleaning methods, this method can remove shadows, especially between feet for the legs-apart stance, and remove parts due to any objects being carried, such as briefcase or a walking cane. After quantitatively establishing the improved quality of the silhouette over simple background subtraction, we show on the 122 subjects HumanID Gait Challenge Dataset and using two gait recognition algorithms that the observed poor performance of gait recognition for hard problems involving matching across factors such as surface, time, and shoe are not due to poor silhouette quality, beyond what is available from statistical background subtraction based methods.