Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos.
In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs. Specifically, you’ll:
Perform object detection
Train image classification models
Use features to track objects and align images
Detect motion in video
Implement multi-object tracking
You will use MATLAB throughout this specialization. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your computer vision tasks. You will be provided free access to MATLAB for the duration of the specialization to complete your work.
To be successful in this specialization, it will help to have some prior image processing experience. If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.
Applied Learning Project
In course 1, you will stitch together images from the Mars Curiosity Rover. In course 2, you will train machine learning models to classify traffic signs and detect them in images and video. In course 3, you will use deep learning models to detect objects. You will also apply optical flow to detect moving objects and apply tracking algorithms to track objects as they move in a video.
