Understand how a digital image is presented, what are the preprocessing and image manipulation procedures, how to perform image segmentation, how to detect different contours and objects, and how to track detected objects. Gain an in-depth understanding of the features of digital images and video signals and how to process images with suitable algorithms. Finally, gain an overview of different computer vision-based advanced ADAS algorithms and practical guidelines for constructing them.
Course Topics:
- Digital Image Presentation
- Techniques for image preprocessing and image manipulation
- Geometric image transformations
- Edge detection
- Image segmentation and contour detection
- Object detection
- Definition of object detection and challenges in object detection
- Motion analysis and object tracking
- CV-based advanced ADAS algorithms
Requirements
Software: Open CV, Chrome browser.
Hardware: Computer with an Internet connection, working speakers, and microphone.
Prior knowledge: Students should have basic knowledge of Python language, being able to write simple programs.
