Full Body Person Identification Using the Kinect Sensor

  title={Full Body Person Identification Using the Kinect Sensor},
  author={Virginia O. Andersson and Ricardo Matsumura de Ara{\'u}jo},
  journal={2014 IEEE 26th International Conference on Tools with Artificial Intelligence},
Identifying individuals using biometric data is an important task in surveillance, authentication and even entertainment. This task is more challenging when required to be performed without physical contact and at a distance. Analyzing video footages from individuals for patterns is an active area of research aiming at fulfilling this goal. We describe results on classifiers trained to identify individuals from data collected from 140 subjects walking in front of a Microsoft Kinect sensor… CONTINUE READING

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Publications referenced by this paper.
Showing 1-10 of 18 references

Walking Patterns of Normal Men.

The Journal of bone and joint surgery. American volume • 1964
View 5 Excerpts
Highly Influenced

Neural Networks and Learning Machines (3rd Edition), 3rd ed

S. Haykin
View 2 Excerpts
Highly Influenced

Automatic extraction and description of human gait models for recognition purposes

Computer Vision and Image Understanding • 2003
View 4 Excerpts
Highly Influenced

2.5D gait biometrics using the Depth Gradient Histogram Energy Image

2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS) • 2012

Skeleton joint smoothing white paper

M. Azimi
Microsoft Inc., Tech. Rep., 2012. [Online]. Available: http://msdn.microsoft.com/ en-us/library/jj131429.aspx 6332 • 2012
View 1 Excerpt

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