April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
The MultiTracker class from OpenCV was used to implement multi-object tracking. The multi-object tracker (which is implemented simply as a collection of single-object trackers) processes the tracked objects independently.
A multi-object tracker needs two inputs, namely, a reference video frame (we used the first video frame as reference) and locations (to be specified in terms of bounding boxes) of all of the objects (in the reference frame) that we want to track. Then, the tracker simultaneously tracks the locations of the target objects in the succeeding frames.
OpenCV has eight different object trackers (types): BOOSTING, MIL, KCF, TLD, MEDIANFLOW, GOTURN, MOSSE, and CSRT. The KCF tracker is fast and accurate, the CSRT ...
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