Cover Image

A Machine Learning Model for Crowd Density Classification in Hajj Video Frames

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Shah, Afnan A.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
by: Lu, Yucheng, et al.
Published: (2025)

Automated Pavement Cracks Detection and Classification Using Deep Learning
by: Nafaa, Selvia, et al.
Published: (2024)

$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion Models
by: Ranasinghe, Yasiru, et al.
Published: (2023)

Analysis of Unstructured High-Density Crowded Scenes for Crowd Monitoring
by: Matov, Alexandre
Published: (2024)

Learning Extremely High Density Crowds as Active Matters
by: He, Feixiang, et al.
Published: (2025)

Density Estimation and Crowd Counting
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition
by: Akben, Mustafa, et al.
Published: (2025)

Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024)

Advancing Roadway Sign Detection with YOLO Models and Transfer Learning
by: Nafaa, Selvia, et al.
Published: (2024)

ViMU: Benchmarking Video Metaphorical Understanding
by: Li, Qi, et al.
Published: (2026)

L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation
by: Xu, Guoliang, et al.
Published: (2025)

A Comparison of Human and Machine Learning Errors in Face Recognition
by: Estévez-Almenzar, Marina, et al.
Published: (2025)

Detecting Cultural Differences in News Video Thumbnails via Computational Aesthetics
by: Limpijankit, Marvin, et al.
Published: (2025)

Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis
by: Guo, Jingwei, et al.
Published: (2024)

Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
by: Fleischer, Jacques P., et al.
Published: (2024)

And Then the Hammer Broke: Reflections on Machine Ethics from Feminist Philosophy of Science
by: Ye, Andre
Published: (2024)

CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting
by: Fujii, Ryo, et al.
Published: (2024)

Density-based Object Detection in Crowded Scenes
by: Zhao, Chenyang, et al.
Published: (2025)

Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories
by: Peterka, Tomas, et al.
Published: (2025)

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
by: Pangtey, Lata, et al.
Published: (2025)

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models
by: Rahman, Aimon, et al.
Published: (2024)

Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos
by: Xiong, Zinan, et al.
Published: (2024)

Rule-Based Modeling of Low-Dimensional Data with PCA and Binary Particle Swarm Optimization (BPSO) in ANFIS
by: Al-Ali, Afnan, et al.
Published: (2025)

Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning
by: Celona, Luigi, et al.
Published: (2024)

DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video
by: Wen, Hao, et al.
Published: (2025)

VideoNorms: Benchmarking Cultural Awareness of Video Language Models
by: Varimalla, Nikhil Reddy, et al.
Published: (2025)

A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation
by: Aidoo, Theophilus, et al.
Published: (2025)

InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
by: Yusuf, Ibrahim Salihu, et al.
Published: (2025)

Learning Under Low Illumination: A Dataset and Algorithm for Traffic Sign Recognition
by: Mishra, Aditya, et al.
Published: (2025)

CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
by: Dähling, Marius, et al.
Published: (2025)

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
by: Girrbach, Leander, et al.
Published: (2025)

One-Shot Crowd Counting With Density Guidance For Scene Adaptation
by: Chen, Jiwei, et al.
Published: (2026)

Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
by: Wang, Yuan, et al.
Published: (2026)

FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting
by: He, Zefeng, et al.
Published: (2025)

Disentangled Motion Modeling for Video Frame Interpolation
by: Lew, Jaihyun, et al.
Published: (2024)

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
by: Washington, Peter, et al.
Published: (2020)

Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
by: Zhang, Lvmin, et al.
Published: (2025)

A Framework for Critical Evaluation of Text-to-Image Models: Integrating Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering
by: Foka, Amalia
Published: (2024)

FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process
by: Bu, Yuyan, et al.
Published: (2024)

Networking Systems for Video Anomaly Detection: A Tutorial and Survey
by: Liu, Jing, et al.
Published: (2024)