Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.

Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is o

Detailed closed-loop bandwidth and transient response approach is a subject rarely found in current literature. This innovative resource offers practical explan

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth