In-pit coal mine personnel uniqueness detection technology based on personnel positioning and face recognition-Reference-Cited by-同舟云学术

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In-pit coal mine personnel uniqueness detection technology based on personnel positioning and face recognition

Published:2013-05 Issue:3 Volume:23 Page:357-361
ISSN:2095-2686
Container-title:International Journal of Mining Science and Technology
language:en
Short-container-title:International Journal of Mining Science and Technology

Author:

Sun Jiping,Li Chenxin

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Reference14 articles.

1. Technologies of monitoring and communication in the coal mine;Sun;J China Coal Soc,2010

2. Effect and configuration of six systems for safe act of rescue of coal mine underground;Sun;Ind Mine Autom,2010

3. A servey on biometrics;Lu;J Nanjing Univ Posts Telecommun: Nat Sci,2007

4. The framework and typical application for biometrics grid;Ming;J Huazhong Univ Sci Technol,2006

5. Progress of biometric technology standardization;Lin;J Tsinghua Univ: Sci Technol,2006

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1. MD-TLCF: Miner Distance Detection Based on Trajectory-Based Low-Confidence Filter;IEEE Transactions on Instrumentation and Measurement;2024

2. Study on the Recognition of Coal Miners’ Unsafe Behavior and Status in the Hoist Cage Based on Machine Vision;Sensors;2023-10-28

3. RGBD image based human detection for electromechanical equipment in underground coal mine;2022 IEEE International Conference on Mechatronics and Automation (ICMA);2022-08-07

4. Automatic detection technology of sports athletes based on image recognition technology;EURASIP Journal on Image and Video Processing;2019-01-18

5. Tunnel personnel positioning method based on TOA and modified location-fingerprint positioning;International Journal of Mining Science and Technology;2016-05

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