Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. In this session, we dive deeper into the topic of object detection and tracking.

Attend this session to see how to use the capabilities of MATLAB and toolboxes to:
-Recognize objects in images 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