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Practical Computer Vision

You're reading from   Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and OpenCV

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Length 234 pages
Edition 1st Edition
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Author (1):
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Abhinav Dadhich Abhinav Dadhich
Author Profile Icon Abhinav Dadhich
Abhinav Dadhich
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Table of Contents (12) Chapters Close

Preface 1. A Fast Introduction to Computer Vision FREE CHAPTER 2. Libraries, Development Platform, and Datasets 3. Image Filtering and Transformations in OpenCV 4. What is a Feature? 5. Convolutional Neural Networks 6. Feature-Based Object Detection 7. Segmentation and Tracking 8. 3D Computer Vision 9. Mathematics for Computer Vision 10. Machine Learning for Computer Vision 11. Other Books You May Enjoy

References

  • Bolme David S. J. Ross Beveridge, Bruce A. Draper, and Yui Man Lui. Visual object tracking using adaptive correlation filters. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 2544-2550. IEEE, 2010.
  • Wojke, Nicolai, Alex Bewley, and Dietrich Paulus. Simple Online and Realtime Tracking with a Deep Association Metric. arXiv preprint arXiv:1703.07402 (2017).
  • Bewley, Alex, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft. Simple online and realtime tracking. In Image Processing (ICIP), 2016 IEEE International Conference on, pp. 3464-3468. IEEE, 2016.
  • Ren, Shaoqing, Kaiming He, Ross Girshick, and Jian Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems, pp. 91-99. 2015.
  • Long, Jonathan, Evan Shelhamer, and Trevor Darrell. Fully convolutional networks for...
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