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Artificial intelligence (AI) advancements for transportation security: in-depth insights into electric and aerial vehicle systems
The transformative advancements in transportation technology have brought forth electric
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
CNN-based object detection via segmentation capabilities in Outdoor natural scenes
Object recognition along with classification are necessary for many applications, such as
surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike …
surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike …
[HTML][HTML] Vehicle detection and classification via YOLOv8 and deep belief network over aerial image sequences
Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …
intelligent traffic monitoring system. Traditional methods are highly computationally …
A robust model of human activity recognition using independent component analysis and XGBoost
TFN Bukht, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
In computer vision and pattern recognition, image-based human activity detection has
gained popularity as a research topic. The process of recognizing human behavior from an …
gained popularity as a research topic. The process of recognizing human behavior from an …
Efficient vehicle detection and tracking using blob detection and Kernelized filter
Smart conveyance techniques are crucial in modern society, enabling efficient traffic
management and ensuring public safety. Therefore, this paper proposes a novel approach …
management and ensuring public safety. Therefore, this paper proposes a novel approach …
A novel framework for vehicle detection and tracking in night ware surveillance systems
In the field of traffic surveillance systems, where effective traffic management and safety are
the primary concerns, vehicle detection and tracking play an important role. Low brightness …
the primary concerns, vehicle detection and tracking play an important role. Low brightness …
UAV Detection Using Template Matching and Centroid Tracking
In computer vision and image processing, vehicle detection and tracking in complicated
aerial images have become important subjects. The need for automated systems that can …
aerial images have become important subjects. The need for automated systems that can …
A smart traffic control system based on pixel-labeling and SORT tracker
Autonomous vehicle detection and tracking are crucial for intelligent transportation
management and control systems. Although many techniques are used to develop smart …
management and control systems. Although many techniques are used to develop smart …
[PDF][PDF] Semantic Segmentation and YOLO Detector over Aerial Vehicle Images.
Intelligent vehicle tracking and detection are crucial tasks in the realm of highway
management. However, vehicles come in a range of sizes, which is challenging to detect …
management. However, vehicles come in a range of sizes, which is challenging to detect …
Semantic Segmentation Based Real-Time Traffic Monitoring via Res-UNet Classifier and Kalman Filter
In computer vision, accurate vehicle recognition and tracking is a challenging research topic.
Manual surveillance systems are cumbersome, labor-intensive, and inefficient in today's …
Manual surveillance systems are cumbersome, labor-intensive, and inefficient in today's …