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.
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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.
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.
What's inside
Three courses
Introduction to Computer Vision
Introduction to Computer Vision
Machine Learning for Computer Vision
Machine Learning for Computer Vision
Object Tracking and Motion Detection with Computer Vision
Object Tracking and Motion Detection with Computer Vision
Learning objectives
- Use a variety of algorithms to detect & match image features & perform image registration
- Train image classification & detection models using traditional image features
- Perform multi-object tracking to count, track, & determine the direction of objects in video files
- Use deep learning models such as yolo to perform object detection & compare their size and speed
- Use a variety of algorithms to detect & match image features & perform image registration
- Train image classification & detection models using traditional image features
- Perform multi-object tracking to count, track, & determine the direction of objects in video files
- Use deep learning models such as yolo to perform object detection & compare their size and speed
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