Advances in automatic gait recognition

@article{Nixon2004AdvancesIA,
  title={Advances in automatic gait recognition},
  author={Mark S. Nixon and John N. Carter},
  journal={Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.},
  year={2004},
  pages={139-144}
}
  • M. Nixon, J. Carter
  • Published 17 May 2004
  • Computer Science
  • Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.
Automatic recognition by gait is subject to increasing interest and has the unique capability to recognize people at a distance when other biometrics are obscured. Its interest is reinforced by the longstanding computer vision interest in automated non-invasive analysis of human motion. Its recognition capability is supported by studies in other domains such as medicine (biomechanics), mathematics and psychology, which continue to suggest that gait is unique. Further, examples of recognition by… 
Automatic Recognition by Gait
TLDR
It is shown that this new biometric has capability and research and application potential in other domains, since the notion that people can be recognized by gait has support not only in medicine and biomedicine, and also in literature and psychology and other areas.
Identification by a hybrid 3D/2D gait recognition algorithm
TLDR
A set of experiments was conducted to illustrate the potential of matching 3D volumetric data against gait images from single cameras inside the Biometric Tunnel at Southampton University using the Gait Energy Image as gait features and found the assumption made previously that straight ahead walking and curved walking are similar, is invalid.
Vision-based approaches towards person identification using gait
TLDR
This paper presents a comprehensive overview of the exiting techniques, their key stages, and recent developments in vision-based person identification using gait, and summarizes the different types of features that have been proposed to encode the biomechanics of gait.
Person identification based on gait using dynamic body parameters
Gait as a behavioural biometrics has been the subject of recent investigations. One of the unique advantages of human gait is that it can be perceived from a distance. A varied range of research has
A Survey on Gait Recognition
TLDR
A review of research works in gait recognition addresses the current state-of-art, new modalities, such as recognition based on floor sensors, radars, and accelerometers; new approaches that include machine learning methods; and examine challenges and vulnerabilities in this field.
Gait analysis and recognition for automated visual surveillance
TLDR
The experimental results confirmed the robustness of the model-based approach to recognise walking subjects with a correct classification rate of 95% using purely the dynamic features derived from the joint motion, confirming the early psychological theories claiming that the discriminative features for motion perception and people recognition are embedded in gait kinematics.
A New Attempt to Silhouette-Based Gait Recognition for Human Identification
  • M. Ekinci
  • Computer Science
    Canadian Conference on AI
  • 2006
TLDR
This paper presents multi-projections based approach to extract gait patterns for human recognition based on normalized correlation on the distance vectors, and demonstrates that the right person in top two matches 100% of the times for the cases where training and testing sets corresponds to the same walking styles.
Human Identification Using Gait
  • M. Ekinci, M. Aykut
  • Computer Science
    2006 IEEE 14th Signal Processing and Communications Applications
  • 2006
TLDR
A view-invariant approach for human identication at a distance, using gait recognition, based on principal component analysis (PCA), which demonstrates that the right person in the top 2 matches 100% of the time for the cases where training and testing sets corresponds to the same walking styles.
Robust gait recognition under variable covariate conditions
Gait is a weak biometric when compared to face, fingerprint or iris because it can be easily affected by various conditions. These are known as the covariate conditions and include clothing,
Efficient Night Gait Recognition Based on Template Matching
TLDR
A new gait representation called HTI is proposed to characterize gait signatures for recognition via thermal infrared imagery, based on the Gaussian mixture modeling of the background.
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References

SHOWING 1-10 OF 80 REFERENCES
Automatic recognition by gait: progress and prospects
Recognising people by their gait is a biometric of increasing interest. Recently, analysis has progressed from evaluation by few techniques on small databases with encouraging results to large
New Area Based Metrics for Automatic Gait Recognition
TLDR
A new area based metric, called gait masks, is presented, which provides statistical data intimately related to the gait of the subject and motivated by medical studies, and provides the first statistical approach that can expose the dynamics of the change in area of a subject.
Automatic gait recognition based on statistical shape analysis
TLDR
This paper proposes a simple and efficient automatic gait recognition algorithm using statistical shape analysis that implicitly uses the action of walking to capture the structural characteristics of gait, especially the shape cues of body biometrics.
Automatic gait recognition
Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Its advantages are that it is non-invasive and that it is less likely to be obscured since it appears to be
Fusion of static and dynamic body biometrics for gait recognition
TLDR
A human recognition algorithm by combining static and dynamic body biometrics, fused on the decision level using different combinations of rules to improve the performance of both identification and verification is described.
Silhouette Analysis-Based Gait Recognition for Human Identification
TLDR
A simple but efficient gait recognition algorithm using spatial-temporal silhouette analysis is proposed that implicitly captures the structural and transitional characteristics of gait.
Gait Recognition By Walking and Running: A Model-Based Approach
TLDR
The new analytical model presented in this paper is based on the biomechanics of walking and running, and will serve as the foundation of an automatic person recognition system that is invariant to these distinct gaits.
Automatic gait recognition using area-based metrics
A novel technique for analysing moving shapes is presented in an example application to automatic gait recognition. The technique uses masking functions to measure area as a time varying signal from
Automated person recognition by walking and running via model-based approaches
TLDR
Results show that both gaits are potential biometrics, with running being more potent than walking, and a phase-weighted Fourier description gait signature by automated non-invasive means is derived.
Automatic extraction and description of human gait models for recognition purposes
TLDR
A new model-based moving feature extraction analysis is presented that automatically extracts and describes human gait for recognition and is shown to be able to handle high levels of occlusion, which is of especial importance in gait as the human body is self-occluding.
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