Sensor fusion-based people counting system using the active appearance models

Seung Wook Kim, June Young Jung, Seung Jun Lee, Aldo W. Morales, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The paper presents a novel robust people counting system using the active appearance model (AAM). Conventional people counting methods utilizing the monoscopic or stereoscopic image data often fail due to occasional illumination change and crowded environment. The proposed algorithm uses both the vision and depth image captured by a vision-plus-depth camera mounted on the ceiling. Then, we construct a 3D human model from the depth image using the AAM to segment and recognize human objects. Experimental results show that the proposed algorithm achieves over 97% accuracy in various testing environments.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Pages65-66
Number of pages2
DOIs
StatePublished - Apr 24 2013
Event2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, NV, United States
Duration: Jan 11 2013Jan 14 2013

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2013 IEEE International Conference on Consumer Electronics, ICCE 2013
CountryUnited States
CityLas Vegas, NV
Period1/11/131/14/13

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, S. W., Jung, J. Y., Lee, S. J., Morales, A. W., & Ko, S. J. (2013). Sensor fusion-based people counting system using the active appearance models. In 2013 IEEE International Conference on Consumer Electronics, ICCE 2013 (pp. 65-66). [6486797] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2013.6486797