A comprehensive survey on human pose estimation approaches
The human pose estimation is a significant issue that has been taken into consideration in
the computer vision network for recent decades. It is a vital advance toward understanding …
the computer vision network for recent decades. It is a vital advance toward understanding …
Learning Models in Crowd Analysis: A Review
Crowd detection and counting are important tasks in several applications of crowd analysis
including traffic management, public safety and event planning. Automatic crowd counting …
including traffic management, public safety and event planning. Automatic crowd counting …
[HTML][HTML] SIMCD: SIMulated crowd data for anomaly detection and prediction
A Bamaqa, M Sedky, T Bosakowski, BB Bastaki… - Expert Systems with …, 2022 - Elsevier
Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …
implementing efficient crowd learning models that can anticipate critical crowd conditions …
Abnormal activity recognition from surveillance videos using convolutional neural network
Background and motivation: Every year, millions of Muslims worldwide come to Mecca to
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …
Crowd counting using end-to-end semantic image segmentation
Crowd counting is an active research area within scene analysis. Over the last 20 years,
researchers proposed various algorithms for crowd counting in real-time scenarios due to …
researchers proposed various algorithms for crowd counting in real-time scenarios due to …
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
A tracklet-before-clustering initialization strategy based on hierarchical KLT tracklet association for coherent motion filtering enhancement
SAM Saleh, AH Kadarman, SA Suandi, SAA Ghaleb… - Mathematics, 2023 - mdpi.com
Coherent motions depict the individuals' collective movements in widely existing moving
crowds in physical, biological, and other systems. In recent years, similarity-based clustering …
crowds in physical, biological, and other systems. In recent years, similarity-based clustering …
A Human Face Detector for Big Data Analysis of Pilgrim Flow Rates in Hajj and Umrah
In today's digital world, some crowded venues still rely on outdated methods, such as
counting people using counters or sensors at the entrance. These techniques generally fail …
counting people using counters or sensors at the entrance. These techniques generally fail …
Designing a comprehensive framework for health management in crowded events
Many countries witness the organization of various events, whether sports, religious, artistic,
cultural, or even political. These events gather large crowds in specific locations. A minor …
cultural, or even political. These events gather large crowds in specific locations. A minor …
Data Assimilation for Agent-Based Models
This article presents a comprehensive review of the existing literature on the topic of data
assimilation for agent-based models, with a specific emphasis on pedestrians and …
assimilation for agent-based models, with a specific emphasis on pedestrians and …