DocumentCode
678678
Title
Vision-Based Tracking for Ecology Analysis of the Cricket
Author
Okuda, Yukihiro ; Takahashi, Satoshi ; Kawabata, Kuniaki ; Aonuma, Hitoshi ; Iwata, Keiji ; Satoh, Y.
Author_Institution
Dept. of Intell. Mech. Syst. Eng., Kagawa Univ., Takamatsu, Japan
fYear
2013
fDate
4-6 Dec. 2013
Firstpage
324
Lastpage
327
Abstract
Recently, research on the habit of creatures and their characteristics are widely based on image processing. For example, the cricket Gryllus bimaculatus which consist of micro brain modifies its behavior by the situation and experience. In this paper, we constructed a technique of image observation to detect a cricket based on an advanced statistical feature, and automatically generated action trajectory. Therefore, we are able to apply the simultaneous observation of crickets. Through experimentation, we proved the effectiveness of our proposed method.
Keywords
behavioural sciences computing; computer vision; feature extraction; target tracking; advanced statistical feature; cricket detection; cricket ecology analysis; image observation technique; vision-based tracking; Accuracy; Electronic mail; Feature extraction; Gravity; Robustness; Trajectory; advanced statistical feature; cricket Gryllus bimaculatus; observation of behavior;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Networking (CANDAR), 2013 First International Symposium on
Conference_Location
Matsuyama
Print_ISBN
978-1-4799-2795-1
Type
conf
DOI
10.1109/CANDAR.2013.58
Filename
6726920
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