October 2015
Intermediate to advanced
230 pages
5h 10m
English
Content preview from OpenCV with Python BlueprintsBecome 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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Mean-shift tracking
It turns out that the salience detector discussed previously is already a great tracker of proto-objects by itself. One could simply apply the algorithm to every frame of a video sequence and get a good idea of the location of the objects. However, what is getting lost is correspondence information. Imagine a video sequence of a busy scene, such as from a city center or a sports stadium. Although a saliency map could highlight all the proto-objects in every frame of a recorded video, the algorithm would have no way to know which proto-objects from the previous frame are still visible in the current frame. Also, the proto-objects map might contain some false-positives, such as in the following example:
Note that the bounding ...
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