Tracking moving objects is an important objective for many autonomous systems. Computer vision is one way to do that.
Anthony Guinipero
Using cues about color and shape helps you find the object in the image. But when the object moves fast or there is shadows or glare the results can be disapointing. Enter the Kalman Filter...
Lisa Knauft
It helps blend noisy measurements with a predicative model of motion resulting in the "smooth like butter" trackers seen in these videos.
Stephen Allen
A blog about one of the most popular majors at USNA.
Subscribe To Our RSS Feed
Posts
Posts
Don't know what RSS is? Subscribe via email (due to spam filter, use a non-usna account)
Who Are We?
- Systems Engineering
- www.usna.edu/WSE We use knowledge of mechanical, electrical and computer engineering to make machines "smart"! We offer courses in Robotics, Autonomous Vehicles, Feedback Control Systems, Computer Vision, Sensors and Computer Systems. We are one of the most popular majors at the US Naval Academy.