Work

SquareTrack: A Novel Approach for Tracking Pigs in Commercial Swine Farming

Year: 2026

Type: article

Abstract: Monitoring animal behavior is a very important activity in commercial farming, especially in pig farming. For example, aggressiveness is an undesirable type of behavior in a farm setting, requiring constant monitoring by the farmer, being prone to errors, and time consuming which can be reduced through automation using tracking algorithms. Computer vision and artificial intelligence, employing neural networks, allow for the implementation of techniques to track animals in videos. SquareTrack is a technique developed for this purpose and has been compared with DeepSort, ByteTrack, and BotSort. The superior performance of SquareTrack on the MOTA and HOTA_ALPHA metrics was 0.66 and 0.72, respectively, for tracking pigs using a dataset obtained from a commercial farm.

Source: IEEE Access

DOI: 10.1109/access.2026.3700062

Authors: Junior Silva Souza, Eduardo Bedin, Vinícius De Araújo Maeda, João Vitor De Andrade Porto, Hemerson Pistori, Edson Takashi Matsubara

Institutions: Universidade Federal de Mato Grosso do Sul, Universidade Católica Dom Bosco

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $2,075