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PSO-particle filter-based length estimation in human tracking

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Zhenyuan, Xu, Watada, Junzo
Other Authors: xzyzx05@moegi.waseda.jp
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Height surveying
Human tracking
Accuracy
Particle filter
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20490
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spelling my.unimap-204902012-07-19T12:57:59Z PSO-particle filter-based length estimation in human tracking Zhenyuan, Xu Watada, Junzo xzyzx05@moegi.waseda.jp junzow@osb.att.ne.jp Height surveying Human tracking Accuracy Particle filter International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. Today, high quality results are expected of security and surveillance systems. These systems must not only track the real sizes and motions of humans, but also, in some situations, they must track features such as width and length. 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 human tracking to solve the problem of length surveying. This human tracking method can mark humans’ and objects’ 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 lengths. To obtain more accurate results for height surveying, we need a tracking method that can show more exact results. Combining tracking/detecting methods with a pso-particle filter will show a result with great accuracy in human tracking. 2012-07-19T12:57:59Z 2012-07-19T12:57:59Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20490 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Height surveying
Human tracking
Accuracy
Particle filter
spellingShingle Height surveying
Human tracking
Accuracy
Particle filter
Zhenyuan, Xu
Watada, Junzo
PSO-particle filter-based length estimation in human tracking
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 xzyzx05@moegi.waseda.jp
author_facet xzyzx05@moegi.waseda.jp
Zhenyuan, Xu
Watada, Junzo
format Working Paper
author Zhenyuan, Xu
Watada, Junzo
author_sort Zhenyuan, Xu
title PSO-particle filter-based length estimation in human tracking
title_short PSO-particle filter-based length estimation in human tracking
title_full PSO-particle filter-based length estimation in human tracking
title_fullStr PSO-particle filter-based length estimation in human tracking
title_full_unstemmed PSO-particle filter-based length estimation in human tracking
title_sort pso-particle filter-based length estimation in human tracking
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20490
_version_ 1643793088422871040
score 13.214268

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