Silhouette-based human identification from body shape and gait

@article{Collins2002SilhouettebasedHI,
  title={Silhouette-based human identification from body shape and gait},
  author={Robert T. Collins and Ralph Gross and Jianbo Shi},
  journal={Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition},
  year={2002},
  pages={366-371}
}
Our 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 technique based on template matching of body silhouettes. Cyclic gait analysis is performed to extract key frames from a test sequence. These frames are compared to training frames using normalized correlation, and subject classification is performed… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 364 CITATIONS

Gait recognition based on shape and motion analysis of silhouette contours

  • Computer Vision and Image Understanding
  • 2013
VIEW 21 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Interframe variation vector-based gait recognition

Song-Zhi Su, L G Wang, Shao-Zi Li
  • 2008 3rd International Conference on Intelligent System and Knowledge Engineering
  • 2008
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Visual learning and recognition of sequential data manifolds with applications to human movement analysis

  • Computer Vision and Image Understanding
  • 2008
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Biometric recognition by gait: A survey of modalities and features

  • Computer Vision and Image Understanding
  • 2018
VIEW 5 EXCERPTS
CITES BACKGROUND, RESULTS & METHODS
HIGHLY INFLUENCED

SURVEY OF CURRENT TRENDS IN HUMAN GAIT RECOGNITION APPROACHES.

Journal Ijar, V Raj, S Balamurugan
  • 2017
VIEW 5 EXCERPTS
HIGHLY INFLUENCED

Decision-level Gait Fusion for Human Identification at a Distance

VIEW 11 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Human Gait Model for Automatic Extraction and Description for Gait Recognition

VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Temporal Characteristics of Gait Biometrics

  • 2010 Second International Conference on Computer Engineering and Applications
  • 2010
VIEW 5 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Shape Variation-Based Frieze Pattern for Robust Gait Recognition

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
VIEW 8 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2001
2019

CITATION STATISTICS

  • 35 Highly Influenced Citations

  • Averaged 10 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Experimental plan for automatic gait recognition

M. Nixon, J. Carter, J. Shutler, M. Grant
  • Technical report, University of Southampton,
  • 2001
VIEW 1 EXCERPT

Gait recognition from time-normalized joint-angle trajectories in the walking plane

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
VIEW 1 EXCERPT

Gait recognition using static, activity-specific parameters

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
VIEW 1 EXCERPT

Integrated face and gait recognition from multiple views

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
VIEW 1 EXCERPT

The Visual Analysis of Human Movement: A Survey

  • Computer Vision and Image Understanding
  • 1999
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…