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Study on Different Region-Based Object Detection Models Applied to Live Video Stream and Images Using Deep Learning

  • Jyothi Shetty
  • Pawan S. JogiEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

There is a plenty of very interesting problems in the field of computer vision, from the very basic image classification problem to 3d pose estimation problem. One among the many interesting problems is object detection, which is the computer capability to accurately identify the multiple objects present in the scene (image or video) with the bounding boxes around them and the appropriate labels indicating their class along with the confidence score indicating the degree of closeness with the class. In this work, we have discussed in detail different types of region-based object detection models applied on both live video stream and images.

Keywords

Object detection Deep learning Convolutional neural network Computer vision Single-shot detector You look only once Selective search Region of interest Region proposal network 

Notes

Acknowledgements

We are thankful to NMAM Institute of Technology and Engineering Nitte, for allowing us to take the images required for performing the experiment.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.NMAMIT, NitteKarkalaIndia

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