By Topic

Particle Filter-Based Height Estimation in Human Tracking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhenyuan Xu ; Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan ; Junzo Watada ; Zalili Binti Musa

Today, high quality image processing is required in security and surveillance systems. These systems must not only track the motions of humans, but they must also, in some situations, measure features such as height and weight. Few methods have been proposed for height surveying. Some studies show that an infrared ray technique can survey the height of a human, but the equipment required is complicated. The objective of this paper is to build a mathematical model and method for height surveying. This human tracking method can mark humans' size in a picture so that, if we put this picture in a frame of axes, we can calculate the human's/object's height or other features. To obtain more accurate height of an object, we need a method to measure more exact results. Combining tracking/detecting methods with a particle filter provides great accuracy for human tracking.

Published in:

Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on

Date of Conference:

Aug. 29 2011-Sept. 1 2011