Weiwei Xing - Visual Object Tracking from Correlation Filter to Deep Learning

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This book introduces some representative trackers through practical algorithm analysis and experimental evaluations. This book is intended for professionals and researchers interested in visual object tracking, and also can be used as a reference book by students. Readers will get comprehensive knowledge of tracking and can learn state-of-the-art methods through this content. In general, this book is organized as follows:

Chapter summarizes our work and points out the potential future research directions for visual object tracking in appearance model construction and update.

First of all, we would like to thank every one of the collaborators who worked tirelessly together and contributed to producing this monograph. We would also like to thank the organizers of visual tracking benchmarks for providing large-scale datasets to evaluate the trackers comprehensively. We would highly appreciate the help and assistance of the current and graduated students in our research group during the production of this book. In particular, we wish to thank Mr. Xinjie Wang, Mr. Menglei Jin, and Mr. Jiayi Yin for their time and efforts in providing materials and reviewing for revising the entire book and Mr. Hui Wang, Ms. Huaqing Hao, Mr. Yanhao Cheng, Ms. Yuxin Wang, and Mr. Yang Pei for improving the individual chapters of this monograph. We also want to especially thank the editor of Springer, Jing Dou, for her patience, support, guidance, and editorial assistance in the course of the preparation of this work. Part of the content in this book is based on the work supported by the National Natural Science Foundation of China under Nos. 61876018 and 61976017 and the Beijing Natural Science Foundation under No. 4212025.

This monograph, especially those proposed object tracking algorithms in Chaps. , is mainly prepared based on the following research papers of our group. We would like to give a special acknowledgement to all the authors for their contributions and to the related publishing organizations for their permission to use these materials. The referenced papers are as follows:

received the B.S. degree in Computer Science and Technology and the Ph.D. degree in Signal and Information Processing from the Beijing Jiaotong University, Beijing, China, in 2001 and 2006, respectively. She was a visiting scholar at the University of Pennsylvania, PA, USA, during 20112012. She is currently a professor at the School of Software Engineering, Beijing Jiaotong University and leads the research group on Intelligent Computing and Big Data. Her research interests include visual object tracking, computer vision, pattern recognition, and deep learning.