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MLP based Pedestrian Counting

Published: 04 January 2016 Publication History

Abstract

In this paper, we presented an efficient pedestrian counting method for estimating the total number of crowed pedestrians in the video. For this, it detect interest points of the foreground area and the principal components of features - the number of foreground pixels, the number of edge pixels, and textures. These interest points and the principal components of features as an input value of multi-layer neural network that has been presented in this paper, it was learned in the back propagation algorithm utilizing sigmoid function.

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  • (2021)Processing Fire Detection, Face Recognition, and Head Counting for an IoT-based Application in Emergency Exit2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC)10.1109/MAJICC53071.2021.9526261(1-6)Online publication date: 15-Jul-2021

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cover image ACM Conferences
IMCOM '16: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication
January 2016
658 pages
ISBN:9781450341424
DOI:10.1145/2857546
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Published: 04 January 2016

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  1. Pedestrian counting
  2. neural network
  3. principal component analysis

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  • (2021)Processing Fire Detection, Face Recognition, and Head Counting for an IoT-based Application in Emergency Exit2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC)10.1109/MAJICC53071.2021.9526261(1-6)Online publication date: 15-Jul-2021

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