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Published September 30, 2021 | Version v1
Conference paper Open

Computer Vision-based Techniques for Cow Object Recognition

  • 1. School of Computer Sciences, Universiti Sains Malaysia, 11800 Gelugor, Pulau Pinang, Malaysia
  • 2. Department of Computer & Information Systems, Robert Morris University, Moon-Township, Pennsylvania, United States of America
  • 3. Department of Planning, Research and Statistics, Ministry of Health, Bayelsa State, Nigeria

Description

The productivity of livestock farming depends on the welfare of the livestock. This can be achieved by physically and constantly monitoring their behaviors and activities by human experts. However, the degree of having high accuracy and consistency with manual monitoring in a commercial farm is herculean, and in most cases impractical. Hence, there is a need for a method that can overcome the challenges. Proposed in this paper, therefore, is the cow detection and monitoring method using computer vision techniques. The proposed method is capable of tracking and identifying cow objects in video experiments, thereby actualizing precision livestock farming. The method generates reasonable results when compared to other methods.

Files

Computer vision-based techniques for cow object recognition.pdf

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