Tracking Persons: A Survey

View Sample PDF

Author(s): Christine Leignel (Université Libre de Bruxelles, Belgium)and Jean-Michel Jolion (Université de Lyon, France)
Copyright: 2011
Pages: 23
Source title: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
Source Author(s)/Editor(s): Nak-Young Chong (Japan Advanced Institute of Science and Technology, Japan)and Fulvio Mastrogiovanni (University of Genova, Italy)
DOI: 10.4018/978-1-61692-857-5.ch002

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

Purchase

View Tracking Persons: A Survey on the publisher's website for pricing and purchasing information.

Abstract

This chapter presents a survey of methods used for tracking in video sequence. We mainly focus this survey on tracking persons. We introduce three main approaches. First, we present the graph based tracking approach where the sequence of tracked objects are embodied in a graph structure. Then we introduce the features (extracted from the images) based tracking and matching with a model. We survey the main primitives and emphasize the approaches based on 2D and 3D body model. We present the particular case of tracking in a network of cameras with the particle filtering method. Finally, As a generalization, we focus on the single vs. stereo approaches.

The IRMA Community

Research IRM

Tracking Persons: A Survey

Purchase

Abstract

Related Content

IRMA Sponsors