The book aims to help researchers and practitioners develop techniques and solutions based on the potential of video tracking applications.

Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality ...

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area.

This book provides a path for the researchers to identify the works done by others in the same field and thereby to figure out the gap in the current knowledge. This book is organized into three Modules.

Master's Thesis from the year 2009 in the subject Computer Science - Applied, grade: Distinction, University of Essex, course: MSc Computer Science, language: English, abstract: This project explores the use of local features for motion ...

"In this thesis, an algorithm for object tracking through frames of video using a fast partial shape matching technique is proposed.

This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking.

... Object Tracking with AKAZE (Accelerated-KAZE)" offers a user- friendly Python application for real-time object tracking within videos, leveraging the efficient AKAZE algorithm. Its tkinter-based graphical interface features a Video ...

The first project, BoostingTracker.py, is a Python application that leverages the Tkinter library for creating a graphical user interface (GUI) to track objects in video sequences.