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
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;
Conference_Titel :
Computing and Networking (CANDAR), 2013 First International Symposium on
Conference_Location :
Matsuyama
Print_ISBN :
978-1-4799-2795-1
DOI :
10.1109/CANDAR.2013.58
