IoT video analytics for surveillance-based systems in smart cities
K Aminiyeganeh, RWL Coutinho… - Computer Communications, 2024 - Elsevier
Smart city applications are revolutionizing the way people interact with diverse systems in
city-wide applications. Internet of Things (IoT) and machine learning are two enabling …
city-wide applications. Internet of Things (IoT) and machine learning are two enabling …
Using Physical Dynamics: Accurate and Real-Time Object Detection for High-Resolution Video Streaming on Internet of Things Devices
Z Cao, Y Cheng, Y Hu, A Lu, J Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Object detection is crucial in video analytics pipelines, but there is a need to optimize deep
neural networks (DNNs)-based object detection for resource-constrained Internet of Things …
neural networks (DNNs)-based object detection for resource-constrained Internet of Things …
Privacy-preserving Real-world Video Anomaly Detection
GA Noghre - 2023 IEEE International Conference on Smart …, 2023 - ieeexplore.ieee.org
Video anomaly detection is a significant problem in computer vision that aims to detect
unusual or abnormal behaviors in video data that can be used to enhance public safety …
unusual or abnormal behaviors in video data that can be used to enhance public safety …
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
In urban settings, bus transit stands as a significant mode of public transportation, yet faces
hurdles in delivering accurate and reliable arrival times. This discrepancy often culminates …
hurdles in delivering accurate and reliable arrival times. This discrepancy often culminates …
A Survey on Human-AI Teaming with Large Pre-Trained Models
In the rapidly evolving landscape of artificial intelligence (AI), the collaboration between
human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a …
human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a …
ANN-Based Scalable Video Encoding Method for Crime Surveillance-Intelligence of Things Applications
The proliferation of high-quality, networked CCTV cameras in public areas has raised the
volume of constantly generated video data significantly in recent years. The need for …
volume of constantly generated video data significantly in recent years. The need for …
Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
Addressing public safety effectively requires incorporating diverse stakeholder perspectives,
particularly those of the community, which are often underrepresented compared to other …
particularly those of the community, which are often underrepresented compared to other …
Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes
The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …
requiring nuanced interpretation. This study thoroughly examines data representation and …
[HTML][HTML] Visual image design of the internet of things based on AI intelligence
T Tian - Heliyon, 2023 - cell.com
Visual object detection has emerged as a critical technology for Unmanned Arial Vehicle
(UAV) use due to advances in computer vision. New developments in fields like …
(UAV) use due to advances in computer vision. New developments in fields like …
Real-World Community-in-the-Loop Smart Video Surveillance--A Case Study at a Community College
Smart Video surveillance systems have become important recently for ensuring public safety
and security, especially in smart cities. However, applying real-time artificial intelligence …
and security, especially in smart cities. However, applying real-time artificial intelligence …