@inproceedings{56611a23f17743fb86951ecec6ce11b2,
title = "Rat Grooming Detection Using Random Forest Classifier",
abstract = "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.",
author = "Lee, {Chien Cheng} and Gao, {Wei Wei} and Lui, {Ping Wing} and Lin, {Chih Yang}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 ; Conference date: 20-05-2019 Through 22-05-2019",
year = "2019",
month = may,
doi = "10.1109/ICCE-TW46550.2019.8991770",
language = "???core.languages.en_GB???",
series = "2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019",
}