"Digital Video Information Extraction and Object Tracking" ed. by António José Ribeiro Neves, et al.

This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing.

The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.
The book contains eight chapters divided into three sections. Section 1 consists chapters focusing on the problem of visual tracking. Section 2 includes chapters focusing on information extraction from images. Section 3 presents new advances in image sensors.

Contents
1. Object Tracking Using Adapted Optical Flow
2. Siamese-Based Attention Learning Networks for Robust Visual Object Tracking
3. Robust Template Update Strategy for Efficient Visual Object Tracking
4. Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos
5. Thresholding Image Techniques for Plant Segmentation
6. A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS
7. Smart-Road: Road Damage Estimation Using a Mobile Device
8. Adsorption-Semiconductor Sensor Based on Nanosized SnO2 for Early Warning of Indoor Fires


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