Online Visual Tracking

• Main Authors: Lu, Huchuan (Author, http://id.loc.gov/vocabulary/relators/aut), Wang, Dong (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Optical data processing.; Pattern recognition.; Data mining.; Image Processing and Computer Vision.; Pattern Recognition.; Data Mining and Knowledge Discovery.

This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially improved, driven...

Table of Contents:

• 1. Introduction to visual tracking
• 2. Visual Tracking based on Sparse Representation
• 3. Visual Tracking based on Local Model
• 4. Visual Tracking based on Model Fusion
• 5. Tracking by Segmentation
• 6. Correlation Tracking
• 7. Visual Tracking based on Deep Learning
• 8. Conclusions and Future Work.