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Multi-Camera Machine Vision for Detecting and Analyzing Vehicle–Pedestrian Conflicts at Signalized Intersections: Deep Neural-Based Pose Estimation Algorithms

Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences (2025)

Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...

DOAJ Open Access (DOAJ) DOI: 10.3390/app151910413

A lightweight optimization framework for real-time pedestrian detection in dense and occluded scenes

C. Chen, J. Li, J. Li, Z. Shuai et al. • Mechanical Sciences (2025)

Pedestrian detection is one of the most widely applied tasks in industrial computer vision. It encapsulates three core challenges of object detection: detecting small objects, handling heavy occlusion, and balancing speed and accuracy for d...

DOAJ Open Access (DOAJ) DOI: 10.5194/ms-16-877-2025

Object Detection With Deep Learning: A Review

Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu, Xindong Wu • IEEE Transactions on Neural Networks and Learning Systems (2019)

Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnnls.2018.2876865