Abstract: With state-of-the-art computing systems along with Graphical Processing Units a Deep Neural Network can be realized by training on any publicly available dataset in order to detect faces. In ...
This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
Important: This guide assumes you work with OpenCV 2.4.x. Since I no longer work with OpenCV, and don't have the time to keep up with changes and fixes, this guide is unmaintained. Pull requests will ...
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Abstract: With the increasing need for automated and efficient attendance monitoring, traditional methods, such as human roll calls and RFID-based systems have limitations in terms of scalability and ...
This course covers object tracking and motion detection techniques in computer vision, ideal for those interested in video analytics and surveillance applications. The field of Computer Vision and ...
Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...
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