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.

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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.

robotics automation computer-vision image-analysis machine-perception
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

14

Forks

4

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 24, 2022

Commits (30d)

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