Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 78 / No. 1 / 2026

Pages : 144-157

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DESIGN AND IMPLEMENTATION OF PIGS’ MOVEMENT INFORMATION TRACKING SYSTEM

生猪运动信息追踪系统设计与实现

DOI : https://doi.org/10.35633/inmateh-78-11

Authors

Jie BAI

Department of Big Data and Intelligent Engineering, Shanxi Institute of Technology, Yangquan 045000, Shanxi/china;

Yin HU

College of Agricultural Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Jianhua XUE

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Guanzhen LI

College of Computer Science and Software Engineering, Hohai University, Nanjin 211100, Jiangsu/China;

Xinyu ZHAO

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Wenbao ZHANG

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Huabei LI

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Long WANG

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China;

Zhenyu LIU

College of Agricultural Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China; Dryland Farm Machinery Key Technology and Equipment Key Laboratory of Shanxi Province, Taigu 030801, Shanxi/China;

(*) Linwei LI

College of Information Science and Engineering, Shanxi Agricultural University, Taigu 030801, Shanxi/China; Key Laboratory of Equipment and Informatization in Environment Controlled Agriculture, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, Zhejiang/China;

(*) Corresponding authors:

sxrllw@126.com |

Linwei LI

Abstract

To address the low efficiency of traditional pig behavior monitoring methods, this study proposes a swine motion information recognition algorithm and develops a corresponding monitoring system. The system adopts a front-end/back-end separated architecture. The front-end provides video playback and control, multi-target identification, and trajectory visualization. The back-end performs motion detection and background modeling using the MOG2 algorithm and generates trajectory heatmaps through DBSCAN-based clustering. Two operational workflows are supported, namely manual annotation and automatic feature extraction. The system calculates key motion parameters, including velocity and momentum, and enables the export of the processed data. Experimental results demonstrate that the proposed system can effectively analyze swine motion characteristics and trajectory information, providing an accurate and efficient monitoring solution for large-scale pig farming, with practical value for optimizing husbandry management and improving animal health.

Abstract in Chinese

针对传统生猪行为监测效率低的问题，本文设计生猪运动信息识别算法并搭建了对应系统。本文采用前后端分离架构，前端实现视频播控、多目标识别及轨迹绘制，后端利用 MOG2 算法进行运动检测与背景建模，并通过 DBSCAN 算法生成运动轨迹热力图。研究支持基于手动标注与自动提取的双模式识别，可计算速度、动量等运动等参数并导出数据。实验表明，该系统有效分析生猪运动特征和轨迹信息，从而为规模化养殖提供了精准、高效的监测工具，对优化养殖管理和提升动物健康具有实际应用价值。

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