most citedLCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance

Layth Hamad, Muhammad Asif Khan, Hamid Menouar +2

This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs…

cs.CV2024

Multimodal Crowd Counting with Pix2Pix GANs

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Most state-of-the-art crowd counting methods use color (RGB) images to learn the density map of the crowd. However, these methods often struggle to achieve higher accuracy in dense…

cs.CV2024

Curriculum for Crowd Counting -- Is it Worthy?

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Recent advances in deep learning techniques have achieved remarkable performance in several computer vision problems. A notably intuitive technique called Curriculum Learning (CL)…

cs.CV2023

Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Visual crowd counting estimates the density of the crowd using deep learning models such as convolution neural networks (CNNs). The performance of the model heavily relies on the q…

cs.CV2023

Visual Crowd Analysis: Open Research Problems

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep-learning approaches have made it…

cs.CV20231 cited

LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation…