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Coursera

Computer Vision for Engineering and Science

MathWorks via Coursera Specialization

Overview

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.

Syllabus

Course 1: Introduction to Computer Vision
- Offered by MathWorks. In the first course of the Computer Vision for Engineering and Science specialization, you’ll be introduced to ... Enroll for free.

Course 2: Machine Learning for Computer Vision
- Offered by MathWorks. In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the ... Enroll for free.

Course 3: Object Tracking and Motion Detection with Computer Vision
- Offered by MathWorks. In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to ... Enroll for free.

Courses

Taught by

Amanda Wang, Brandon Armstrong, Isaac Bruss, Matt Rich and Megan Thompson

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