Person Re-Identification by Siamese Network

Authors

  • Newlin Shebiah Russel Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India
  • S Arivazhagan Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India
  • S G Amrith Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India
  • S Adarsh Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India

DOI:

https://doi.org/10.4114/intartif.vol26iss71pp25-33

Keywords:

Siamese Network , Re-idenfication , retrieval

Abstract

Re-Identification of person aims at retrieval of person across multiple non overlapping camera. There was a huge gain in the computer vision community with the advancement of deep learning features and also the number of surveillance in videos increased. The challenges faced by person re-identification is low resolution images, pose variation etc., and convolutional neural networks are supported by a number of state-of-the-art algorithms for person re-identification. In this paper, Siamese network is used to predict the similarity or dissimilarity of a person across two cameras. It's a neural architecture that takes as input a pair of images or videos and the output as the prediction of similar and dissimilar persons along with their prediction scores. The experimentation is done by using datasets iLIDS-VID, PRID 2011 and obtained a recognition accuracy of 79.52% and 85.82% respectively.

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Published

2023-03-13

How to Cite

Russel, N. S., Arivazhagan, S., Amrith, . S. G., & Adarsh, S. (2023). Person Re-Identification by Siamese Network. Inteligencia Artificial, 26(71), 25–33. https://doi.org/10.4114/intartif.vol26iss71pp25-33

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