Search Results for author: Abdul Rashid Mussah

Found 5 papers, 1 papers with code

Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras

no code implementations14 Jan 2024 Linlin Zhang, Xiang Yu, Abdulateef Daud, Abdul Rashid Mussah, Yaw Adu-Gyamfi

This study implements a three-stage video analytics framework for extracting high-resolution traffic data such vehicle counts, speed, and acceleration from infrastructure-mounted CCTV cameras.

Camera Calibration Object Recognition

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos

no code implementations13 Apr 2023 Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi

Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes.

Classification Segmentation +1

AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment

no code implementations23 Jan 2023 Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi

Furthermore, most studies are restricted to modeling the ego vehicle's acceleration, which is insufficient to explain the behavior of the ego vehicle.

Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis

1 code implementation21 Oct 2020 Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi

In this study, the authors deploy state-of-the-art deep learning algorithms based on different network backbones to detect and characterize pavement distresses.

Classification General Classification +1

Artificial Intelligence Enabled Traffic Monitoring System

no code implementations2 Oct 2020 Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi

Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.

Management object-detection +1

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