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Robust human target recognition and acquisition is a leading area of research attracting researcher all over the world. Identification and tracking of human subjects in various settings and circumstances are part of the procedure. This method improves the precision and consistency of human target recognition by abstracting sophisticated computer vision techniques, like deep learning and feature extraction. The present paper discusses a D-Tect system for precise human target detection and data acquisition to enhance human safety in situations involving crimes. It helps enhance safety, automation, and decision-making by effectively locating and monitoring human targets.

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A D-Tect System for Robust Human Target Detection and Acquisition to Enhance Safety

  • 会议论文

  • 发表日期：

    2025年

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  • R. A. Archana,
  • B. N. Lakshmi,
  • U. Thanushree,
  • Sahana Hosamani,
  • Shreenidhi P. Shetty,
  • Y. M. Poojitha

摘要

Robust human target recognition and acquisition is a leading area of research attracting researcher all over the world. Identification and tracking of human subjects in various settings and circumstances are part of the procedure. This method improves the precision and consistency of human target recognition by abstracting sophisticated computer vision techniques, like deep learning and feature extraction. The present paper discusses a D-Tect system for precise human target detection and data acquisition to enhance human safety in situations involving crimes. It helps enhance safety, automation, and decision-making by effectively locating and monitoring human targets.