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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
book

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

by Shamshad Ansari
July 2020
Intermediate to advanced
467 pages
9h 44m
English
Apress
Content preview from Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
© Shamshad Ansari 2020
S. AnsariBuilding Computer Vision Applications Using Artificial Neural Networkshttps://doi.org/10.1007/978-1-4842-5887-3_7

7. Practical Example: Object Tracking in Videos

Shamshad Ansari1 
(1)
Centreville, VA, USA
 

The focus of this chapter is on two critical capabilities of computer vision: object detection and object tracking. In general and in the context of a set of images, object detection provides the ability to identify one or more objects in an image, and object tracking provides the ability to track a detected object across a set of images. In previous chapters, we explored the technical aspects of training deep learning models to detect objects. In this chapter, we will explore a simple example of putting that knowledge ...

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