Object Tracking Technology

Introduction

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather than estimating location for a single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream.

Algorithms and Techniques

One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep learning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time.

Scope of the Book

This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various features that can be extracted from the target and target saliency prediction are also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide future aspects in the domain to the reader.

This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. It is formulated with the intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing various environmental and hardware challenges.

Intended Audience

The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personnel, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking. Another projected audience is researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.