抄録
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.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 229-237 |
| ページ数 | 9 |
| ジャーナル | Journal of the Institute of Image Electronics Engineers of Japan |
| 巻 | 42 |
| 発行部数 | 2 |
| 出版物ステータス | Published - 2013 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering
これを引用
Estimation of object distribution using value function for crowded swarm analysis of soldier crab. / Enomoto, Koichiro; Nishiyama, Yuta; Toda, Masashi; Pegio Gunj, Yukio; Moriyama, Toru; Iizuka, Kojiro.
：: Journal of the Institute of Image Electronics Engineers of Japan, 巻 42, 番号 2, 2013, p. 229-237.研究成果: Article
}
TY - JOUR
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
UR - http://www.scopus.com/inward/record.url?scp=84902187734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902187734&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84902187734
VL - 42
SP - 229
EP - 237
JO - Journal of the Institute of Image Electronics Engineers of Japan
JF - Journal of the Institute of Image Electronics Engineers of Japan
SN - 0285-9831
IS - 2
ER -