Próximo webinar

Computer Vision with MATLAB for Object Detection and Tracking


Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. In this webinar, we dive deeper into the topic of object detection and tracking. Through product demonstrations, you will see how to:

  • Recognize objects using SURF features
  • Detect faces and upright people with algorithms such as Viola-Jones
  • Track single objects with the Kanade-Lucas-Tomasi (KLT) point tracking algorithm
  • Perform Kalman Filtering to predict the location of a moving object
  • Implement a motion-based multiple object tracking system

This webinar assumes some experience with MATLAB and Image Processing Toolbox. We will focus on the Computer Vision System Toolbox.

To learn more about computer vision, watch another webinar in this series titled: An Introduction to Computer Vision with MATLAB.

About the Presenter: Bruce Tannenbaum works on image processing and computer vision applications in technical marketing at MathWorks. Earlier in his career, he developed computer vision and wavelet-based image compression algorithms at Sarnoff Corporation (SRI). He holds an MSEE degree from University of Michigan and a BSEE degree from Penn State.

Cubre los siguientes productos

  • Computer Vision System Toolbox™