Rat Grooming Detection Using Random Forest Classifier

被引：0

作者：

Lee, Chien-Cheng ^{[1
]}

Gao, Wei-Wei ^{[1
]}

Lui, Ping-Wing ^{[2
]}

Lin, Chih-Yang ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Elect Engn, Taoyuan, Taiwan

[2] Taichung Vet Gen Hosp, Dept Med Res, Taichung, Taiwan

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2019年

关键词：

D O I：

10.1109/icce-tw46550.2019.8991770

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A rat grooming behavior detection method using video processing and random forest classifier techniques is proposed. A camera is mounted above the rat cage to capture the rat video. Video frame differences are calculated to form time series, and several time series features are extracted from the time series. Then, a random forest classifier is used to classify the grooming activities. The experiment results demonstrate that the grooming activities could be recognized with extremely high accuracy more than 96% using our proposed method.

引用

页数：2

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