Multi-object Real-time Tracking for Intelligent Breeding of Animal

Fei Wang1, Bin Xia2 and Liwu Pan1

  1. School of Information Engineering, Henan University of Animal Husbandry Economy
    Zhengzhou 450044 China
    feinix@126.com
  2. Zhengzhou Cotton&Jute Engineering Technology and Design Research Institute, All China Federation of Supply and Marketing Cooperatives
    Zhengzhou 450044 China
    xiabinwto@163.com

Abstract

Animal intelligent breeding utilizes advanced technology and intelligent systems to monitor, analyze, and optimize animal growth environments and management, which can enhance breeding efficiency and animal health levels. In this paper, we propose a new multi-object real-time tracking within deep framework for intelligent breeding of animal (MRT-IB), which consists of semantic feature extraction module, center point prediction module, and object and trajectory calibration module. MRT-IB reduces the difficulty of modeling animal trajectories by performing animal detection on consecutive frames, resulting in higher robustness in real farming scenarios compared to traditional multi-object tracking schemes that directly model animal motion trajectories.

Key words

animal intelligent breeding, multi-object real-time tracking, object and trajectory calibration

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS240418059W

Publication information

Volume 21, Issue 4 (September 2024)
Year of Publication: 2024
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Wang, F., Xia, B., Pan, L.: Multi-object Real-time Tracking for Intelligent Breeding of Animal. Computer Science and Information Systems, Vol. 21, No. 4, 1845–1864. (2024), https://doi.org/10.2298/CSIS240418059W