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• Histogram of Gradients with Cell Average Intensity for Human Detection

  Publikacja

  • M. Wójcikowski

  - Rok 2015

  The modification of the descriptor in human detector using Histogram of Oriented Gradients and support vector machine is presented. The proposed modification requires inserting the average cell intensitiesresulting with the increase of the length of the descriptor from 3780 to 4200 values, but it is easy to compute and instantly gives 14-26% of miss rate improvement at 10^-4 False Positives Per Window (FPPW). The modification...

• Histogram of Oriented Gradients with Cell Average Brightness for Human Detection

  Publikacja

  • M. Wójcikowski

  - Metrology and Measurement Systems - Rok 2016

  A modification of the descriptor in a human detector using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) is presented. The proposed modification requires inserting the values of average cell brightness resulting in the increase of the descriptor length from 3780 to 3908 values, but it is easy to compute and instantly gives ≈ 25% improvement of the miss rate at 10‒4 False Positives Per Window (FPPW). The...

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• Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network

  Publikacja

  • L. Gertrude David
  • R. Kumar Patra
  • P. Falkowski-Gilski
  • P. Bidare Divakarachari
  • L. J. Antony Marcilin

  - Applied Sciences-Basel - Rok 2022

  In recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...

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