Review on Human Re-identification with Multiple Cameras

Authors

  • K.B. Low Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
  • U.U. Sheikh Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

Keywords:

Human Re-Identification, Non-Overlapping Views, Multiple Cameras,

Abstract

Human re-identification is the core task in most surveillance systems and it is aimed at matching human pairs from different non-overlapping cameras. There are several challenging issues that need to be overcome to achieve reidentification, such as overcoming the variations in viewpoint, pose, image resolution, illumination and occlusion. In this study, we review existing works in human re-identification task. Advantages and limitations of recent works are discussed. At the end, this paper suggests some future research directions for human re-identification.

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Published

2016-12-01

How to Cite

Low, K., & Sheikh, U. (2016). Review on Human Re-identification with Multiple Cameras. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(9), 89–95. Retrieved from https://jtec.utem.edu.my/jtec/article/view/924

Issue

Vol. 8 No. 9: September - December 2016

Section

Articles

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