Visual Object Tracking from Correlation Filter to Deep Learning is popular PDF and ePub book, written by Weiwei Xing in 2021-11-18, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Visual Object Tracking from Correlation Filter to Deep Learning can be Read Online from any device for your convenience.
Visual Object Tracking from Correlation Filter to Deep Learning Book PDF Summary
The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.
Detail Book of Visual Object Tracking from Correlation Filter to Deep Learning PDF
- Author : Weiwei Xing
- Release : 18 November 2021
- Publisher : Springer Nature
- ISBN : 9789811662423
- Genre : Computers
- Total Page : 202 pages
- Language : English
- PDF File Size : 13,6 Mb
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