RetinaNet Based Environment Classification

Authors

  • R. Balamurugan Research Scholar, Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India
  • R. Arunkumar Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India
  • S. Mohan Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.S1.1792

Keywords:

Object Detection, Object Recognition, Retina Net

Abstract

Environmental classification is very useful for visually impaired persons and Robotic applications. The main objective of this work is to detect and recognize the objects present in a scene and identify the environment based on the occurrence probability of the objects in the scene. Objects from the real-time images are detected and recognized by means of RetinaNet. Occurrence probabilities of the recognized objects are used to identify the environment.

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Published

10-11-2018

How to Cite

Balamurugan, R., Arunkumar, R., & Mohan, S. (2018). RetinaNet Based Environment Classification. Asian Journal of Computer Science and Technology, 7(S1), 112–114. https://doi.org/10.51983/ajcst-2018.7.S1.1792