Estimation of object distribution using value function for crowded swarm analysis of soldier crab

Koichiro Enomoto; Yuta Nishiyama; Masashi Toda; Yukio Pegio Gunj; Toru Moriyama; Kojiro Iizuka

Estimation of object distribution using value function for crowded swarm analysis of soldier crab

Koichiro Enomoto, Yuta Nishiyama, Masashi Toda, Yukio Pegio Gunj, Toru Moriyama, Kojiro Iizuka

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes a new method to estimate the distribution of some similar objects that have no specific feature like color and shape. In the field of animal behavior analysis, the estimation of the crowded swarm distribution with automated way of image processing is necessary. However, to trace the individual objects those may overlap each other in video sequence is quite difficult. This paper proposes to introduce a value function effective for the crowded swarm analysis, and shows the affirmative results acquired for the Soldier Crab behavior analysis.

Original language	English
Pages (from-to)	229-237
Number of pages	9
Journal	Journal of the Institute of Image Electronics Engineers of Japan
Volume	42
Issue number	2
Publication status	Published - 2013
Externally published	Yes

Keywords

Crowded swarm
Estimation of distribution
Image Processing
Mictyris guinotae
Occlusion

ASJC Scopus subject areas

Computer Science (miscellaneous)
Electrical and Electronic Engineering

Cite this

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abstract = "This paper proposes a new method to estimate the distribution of some similar objects that have no specific feature like color and shape. In the field of animal behavior analysis, the estimation of the crowded swarm distribution with automated way of image processing is necessary. However, to trace the individual objects those may overlap each other in video sequence is quite difficult. This paper proposes to introduce a value function effective for the crowded swarm analysis, and shows the affirmative results acquired for the Soldier Crab behavior analysis.",

keywords = "Crowded swarm, Estimation of distribution, Image Processing, Mictyris guinotae, Occlusion",

author = "Koichiro Enomoto and Yuta Nishiyama and Masashi Toda and {Pegio Gunj}, Yukio and Toru Moriyama and Kojiro Iizuka",

year = "2013",

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T1 - Estimation of object distribution using value function for crowded swarm analysis of soldier crab

AU - Enomoto, Koichiro

AU - Nishiyama, Yuta

AU - Toda, Masashi

AU - Pegio Gunj, Yukio

AU - Moriyama, Toru

AU - Iizuka, Kojiro

PY - 2013

Y1 - 2013

N2 - This paper proposes a new method to estimate the distribution of some similar objects that have no specific feature like color and shape. In the field of animal behavior analysis, the estimation of the crowded swarm distribution with automated way of image processing is necessary. However, to trace the individual objects those may overlap each other in video sequence is quite difficult. This paper proposes to introduce a value function effective for the crowded swarm analysis, and shows the affirmative results acquired for the Soldier Crab behavior analysis.

AB - This paper proposes a new method to estimate the distribution of some similar objects that have no specific feature like color and shape. In the field of animal behavior analysis, the estimation of the crowded swarm distribution with automated way of image processing is necessary. However, to trace the individual objects those may overlap each other in video sequence is quite difficult. This paper proposes to introduce a value function effective for the crowded swarm analysis, and shows the affirmative results acquired for the Soldier Crab behavior analysis.

KW - Crowded swarm

KW - Estimation of distribution

KW - Image Processing

KW - Mictyris guinotae

KW - Occlusion

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IS - 2

ER -

Estimation of object distribution using value function for crowded swarm analysis of soldier crab

Abstract

Keywords

ASJC Scopus subject areas

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