Advanced Methods and Deep Learning in Computer Vision

Chapter 9: Visual tracking

Tracking in scenes containing multiple moving objects

Michael Felsberg^a,b    aComputer Vision Laboratory, Department of Electrical Engineering, Linköping University, Linköping, Sweden^bSchool of Engineering, University of KwaZulu-Natal, Durban, South Africa

Abstract

Visual tracking is one of the most classical problems in computer vision, and its history goes back to the beginning of the 80s when classical concepts such as the Lucas-Kanade tracker and matched filters were developed. The purpose of this chapter is to give an overview of the development of the field, starting from those two approaches and concluding with deep learning-based approaches as well as the transition to video segmentation. The overview is limited ...