Efficient Face Detection Based Crowd Density Estimation using Convolutional Neural Networks and an Improved Sliding Window Strategy

Efficient Face Detection Based Crowd Density Estimation using Convolutional Neural Networks and an Improved Sliding Window Strategy

Counting and detecting occluded faces in a crowd is a challenging task in computer vision. In this paper, we propose a new approach to face detection-based crowd estimation under significant occlusion and head posture variations. Most state-of-the-art face detectors cannot detect excessively occlude...

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Bibliographic Details
Main Authors: Kian Ara Rouhollah, Matiolanski Andrzej, Grega Michał, Dziech Andrzej, Baran Remigiusz
Format: Article
Language:English
Published: Sciendo 2023-03-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
crowd density
face detection
head pose variations
various lighting conditions
occlusion
Online Access:https://doi.org/10.34768/amcs-2023-0001

Internet

https://doi.org/10.34768/amcs-2023-0001

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