Rat Grooming Detection Using Random Forest Classifier

Chien Cheng Lee; Wei Wei Gao; Ping Wing Lui; Chih Yang Lin

doi:10.1109/ICCE-TW46550.2019.8991770

Rat Grooming Detection Using Random Forest Classifier

Chien Cheng Lee, Wei Wei Gao, Ping Wing Lui, Chih Yang Lin

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728132792
DOIs	https://doi.org/10.1109/ICCE-TW46550.2019.8991770
State	Published - May 2019
Event	6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan Duration: 20 May 2019 → 22 May 2019

Publication series

Name	2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference	6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
Country/Territory	Taiwan
City	Yilan
Period	20/05/19 → 22/05/19

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10.1109/ICCE-TW46550.2019.8991770

Cite this

Lee, C. C., Gao, W. W., Lui, P. W., & Lin, C. Y. (2019). Rat Grooming Detection Using Random Forest Classifier. In 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 Article 8991770 (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW46550.2019.8991770

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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",

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Lee, CC, Gao, WW, Lui, PW & Lin, CY 2019, Rat Grooming Detection Using Random Forest Classifier. in 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019., 8991770, 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019, Institute of Electrical and Electronics Engineers Inc., 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019, Yilan, Taiwan, 20/05/19. https://doi.org/10.1109/ICCE-TW46550.2019.8991770

Rat Grooming Detection Using Random Forest Classifier. / Lee, Chien Cheng; Gao, Wei Wei; Lui, Ping Wing et al.
2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8991770 (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Chien Cheng

AU - Gao, Wei Wei

AU - Lui, Ping Wing

AU - Lin, Chih Yang

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N2 - 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.

AB - 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.

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BT - 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Y2 - 20 May 2019 through 22 May 2019

ER -

Rat Grooming Detection Using Random Forest Classifier

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