Study on the Detection of Dairy Cows’ Self-Protective Behaviors Based on Vision Analysis
Joint Authors
Kang, Feilong
Li, Jia
Wu, Pei
Zhang, Lina
Xuan, Chuanzhong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The study of the self-protective behaviors of dairy cows suffering dipteral insect infestation is important for evaluating the breeding environment and cows’ selective breeding.
The current practices for measuring diary cows’ self-protective behaviors are mostly by human observation, which is not only tedious but also inefficient and inaccurate.
In this paper, we develop an automatic monitoring system based on video analysis.
First, an improved optical flow tracking algorithm based on Shi-Tomasi corner detection is presented.
By combining the morphological features of head, leg, and tail movements, this method effectively reduces the number of Shi-Tomasi points, eliminates interference from background movement, reduces the computational complexity of the algorithm, and improves detection accuracy.
The detection algorithm is used to calculate the number of tail, leg, and head movements by using an artificial neural network.
The accuracy range of the tail and head reached [0.88, 1] and the recall rate was [0.87, 1].
The method proposed in this paper which provides objective measurements can help researchers to more effectively analyze dairy cows’ self-protective behaviors and the living environment in the process of dairy cow breeding and management.
American Psychological Association (APA)
Li, Jia& Wu, Pei& Kang, Feilong& Zhang, Lina& Xuan, Chuanzhong. 2018. Study on the Detection of Dairy Cows’ Self-Protective Behaviors Based on Vision Analysis. Advances in Multimedia،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118490
Modern Language Association (MLA)
Li, Jia…[et al.]. Study on the Detection of Dairy Cows’ Self-Protective Behaviors Based on Vision Analysis. Advances in Multimedia No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1118490
American Medical Association (AMA)
Li, Jia& Wu, Pei& Kang, Feilong& Zhang, Lina& Xuan, Chuanzhong. Study on the Detection of Dairy Cows’ Self-Protective Behaviors Based on Vision Analysis. Advances in Multimedia. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118490
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118490