Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Journal	IEEE International Conference on Ubiquitous Robots
Publication status	Published - 1 Mar 2024

Keywords

@article{284a95217267456088083270000cca22,

title = "Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications",

keywords = "computer vision, Deep Learning, Recycling",

author = "Melanie Neubauer and Elmar R{\"u}ckert",

year = "2024",

month = mar,

day = "1",

language = "English",

journal = "IEEE International Conference on Ubiquitous Robots",

publisher = "IEEE Press",

}

TY - JOUR

T1 - Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications

AU - Neubauer, Melanie

AU - Rückert, Elmar

PY - 2024/3/1

Y1 - 2024/3/1

KW - computer vision

KW - Deep Learning

KW - Recycling

M3 - Conference article

JO - IEEE International Conference on Ubiquitous Robots

JF - IEEE International Conference on Ubiquitous Robots

ER -