September 2015
Beginner to intermediate
296 pages
5h 57m
English
Content preview from OpenCV with Python By ExampleBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Feature based tracking
Feature based tracking refers to tracking individual feature points across successive frames in the video. We use a technique called optical flow to track these features. Optical flow is one of the most popular techniques in computer vision. We choose a bunch of feature points and track them through the video stream.
When we detect the feature points, we compute the displacement vectors and show the motion of those keypoints between consecutive frames. These vectors are called motion vectors. There are many ways to do this, but the Lucas-Kanade method is perhaps the most popular of all these techniques. You can refer to their original paper at http://cseweb.ucsd.edu/classes/sp02/cse252/lucaskanade81.pdf. We start the process ...
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