turhancan97/Convolutional-Neural-Network-for-Object-Tracking
The project we prepared for the Vision-based Control course, which is one of the Poznan University of Technology Automatic Control and Robotics graduate courses.
This resource helps students and practitioners understand and apply computer vision concepts like image classification, object detection, recognition, and tracking. It takes in raw image or video data and provides analyses such as identifying objects of a specific color, tracking motion, or recognizing faces in real-time. It's designed for anyone learning or working with automated visual systems.
No commits in the last 6 months.
Use this if you are a student or researcher in robotics or automation, looking for foundational knowledge and practical examples in vision-based control and image analysis.
Not ideal if you need a ready-to-use, high-performance, or production-grade object tracking solution for complex industrial applications.
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14
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4
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Jupyter Notebook
License
MIT
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Last pushed
Jun 24, 2022
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