Deep Learning for Robot Perception and Cognition

Chapter 11: Object detection and tracking

Kateryna Chumachenko^a; Moncef Gabbouj^a; Alexandros Iosifidis^b    aFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland^bDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

Abstract

The availability of an increasing amount of computational power and large-scale public data sets has driven the field of object detection and tracking with an unprecedented development speed, finding applications in many areas. This chapter surveys the most prominent methods in the field. We first formulate the problems of object detection and single and multiple object tracking, and then present the most relevant methodologies which have successfully ...