Object Tracking and Motion Detection with Computer Vision

Overview

Embark on a journey to master Object Tracking and Motion Detection with the final course in the Computer Vision for Engineering and Science specialization, available on Coursera. This comprehensive course is designed to equip you with the skills to track objects and detect motion across videos, a critical competency for applications ranging from microbiology to autonomous systems.

Through the course, you will be introduced to the use of pre-trained deep neural networks for object detection and optical flow techniques for motion detection, paving the way to identify moving objects with precision.

Dive deep into practical applications by taking on a challenging final project, where you'll play the role of an engineer tasked with tracking vehicles on a bustling highway, counting each vehicle and determining its direction. This course leverages MATLAB, a leading software in engineering and science, to facilitate your computer vision tasks.

You'll gain complimentary access to MATLAB for the duration of the course, ensuring you have the necessary tools at your disposal.

While prior experience in image processing will be advantageous, newcomers to image data are encouraged to first explore the Image Processing for Engineering and Science specialization to build a solid foundation. With a mix of theory and practical assignments, this course is your gateway to advancing in fields like object detection, and is categorically suited for those interested in Computer Vision Courses, MATLAB Courses, and Object Detection Courses.

Taught by

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

Subjects