Spatio-Temporal-Based Identification of Aggressive Behavior in Group Sheep

Author:

Xu Yalei1234ORCID,Nie Jing123ORCID,Cen Honglei123,Wen Baoqin123,Liu Shuangyin14,Li Jingbin123,Ge Jianbing123,Yu Longhui1234ORCID,Pu Yuhai123,Song Kangle123,Liu Zichen123,Cai Qiang123

Affiliation:

1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China

2. Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi 832003, China

3. Industrial Technology Research Institute of Xinjiang Production and Construction Corps, Shihezi 832000, China

4. College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China

Abstract

In order to solve the problems of low efficiency and subjectivity of manual observation in the process of group-sheep-aggression detection, we propose a video streaming-based model for detecting aggressive behavior in group sheep. In the experiment, we collected videos of the sheep’s daily routine and videos of the aggressive behavior of sheep in the sheep pen. Using the open-source software LabelImg, we labeled the data with bounding boxes. Firstly, the YOLOv5 detects all sheep in each frame of the video and outputs the coordinates information. Secondly, we sort the sheep’s coordinates using a sheep tracking heuristic proposed in this paper. Finally, the sorted data are fed into an LSTM framework to predict the occurrence of aggression. To optimize the model’s parameters, we analyze the confidence, batch size and skipping frame. The best-performing model from our experiments has 93.38% Precision and 91.86% Recall. Additionally, we compare our video streaming-based model with image-based models for detecting aggression in group sheep. In sheep aggression, the video stream detection model can solve the false detection phenomenon caused by head impact feature occlusion of aggressive sheep in the image detection model.

Funder

Shihezi University Achievement Transformation and Technology Promotion Project

Shihezi University Innovation and Development Special Project

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Innovation Team Project of Universities in Guangdong Province

Science and Technology Planning Project of Yunfu

Science and Technology Program of Guangzhou

Guangdong Science and Technology Project

Guangdong Province Graduate Education Innovation Program Project

Major Science and Technology Special Projects in Xinjiang Uygur Autonomous Region

Meat Pigeon Industrial Park Technology Research and Development Project in Xingning, Meizhou

Science and Technology Planning Project of Heyuan

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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