Particle filter-based height estimation in human tracking

Zhenyuan Xu; Junzo Watada; Zalili Binti Musa

doi:10.1109/ICGEC.2011.94

Particle filter-based height estimation in human tracking

Zhenyuan Xu^*, Junzo Watada, Zalili Binti Musa

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
Pages	385-388
Number of pages	4
DOIs	https://doi.org/10.1109/ICGEC.2011.94
Publication status	Published - 2011
Event	5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen Duration: 2011 Aug 29 → 2011 Sept 1

Other

Other	5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
City	Xiamen
Period	11/8/29 → 11/9/1

Keywords

Accuracy
Height surveying
Human tracking
Particle filter

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications

Access to Document

10.1109/ICGEC.2011.94

Cite this

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title = "Particle filter-based height estimation in human tracking",

abstract = "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.",

keywords = "Accuracy, Height surveying, Human tracking, Particle filter",

author = "Zhenyuan Xu and Junzo Watada and Musa, {Zalili Binti}",

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pages = "385--388",

booktitle = "Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011",

note = "5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 ; Conference date: 29-08-2011 Through 01-09-2011",

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AU - Xu, Zhenyuan

AU - Watada, Junzo

AU - Musa, Zalili Binti

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Accuracy

KW - Height surveying

KW - Human tracking

KW - Particle filter

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BT - Proceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011

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Particle filter-based height estimation in human tracking

Abstract

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Keywords

ASJC Scopus subject areas

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