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. ...
7. Practical Example: Object Tracking in Videos
Get Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.