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Object Detection and Tracking

  • Chenguang YangEmail author
  • Hongbin MaEmail author
  • Mengyin Fu
Chapter

Abstract

Visual sensors provide comprehensive and abundant information of surrounding environment. In this chapter, we will first give a brief introduction of visual recognition with basic concepts and algorithms, followed by the introduction of the useful software toolkit JavaScript Object Notation (JSON) framework. Then we will review a series of vision-based object recognition and tracking techniques. The detection and classification of pedestrians in infrared thermal images is investigated using deep learning method. And the algorithm for tracking single moving objects based on JSON visual recognition framework is also introduced. As the extension of single moving objects tracking, we will also show the visual tracking to multiple moving objects with the aid of the particle swarm optimization (PSO) method.

Keywords

Particle Swarm Optimization Feature Point Inertia Weight Convolutional Neural Network Particle Swarm Optimization Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Science Press and Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Key Lab of Autonomous Systems and Networked Control, Ministry of EducationSouth China University of TechnologyGuangzhouChina
  2. 2.Centre for Robotics and Neural SystemsPlymouth UniversityDevonUK
  3. 3.School of AutomationBeijing Institute of TechnologyBeijingChina
  4. 4.State Key Lab of Intelligent Control and Decision of Complex SystemBeijing Institute of TechnologyBeijingChina

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