Multi-object Real-time Tracking for Intelligent Breeding of Animal
Computer Science and Information Systems, Tome 21 (2024) no. 4.

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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.
Keywords: animal intelligent breeding, multi-object real-time tracking, object and trajectory calibration
@article{CSIS_2024_21_4_a32,
     author = {Fei Wang and Bin Xia and Liwu Pan},
     title = {Multi-object {Real-time} {Tracking} for {Intelligent} {Breeding} of {Animal}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {21},
     number = {4},
     year = {2024},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a32/}
}
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Fei Wang; Bin Xia; Liwu Pan. Multi-object Real-time Tracking for Intelligent Breeding of Animal. Computer Science and Information Systems, Tome 21 (2024) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a32/