April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How to do it...
Perform the following steps to implement multiple object tracking with opencv-python functions:
- First, create a MultiTracker object using the following line of code:
multi_tracker = cv2.MultiTracker_create()
- You will track a couple of moving cars in a video. The location of the cars is provided to you for the very first frame in the video. You may try to extract the frames from the video and use your favorite object detection algorithm to obtain the bounding boxes of the cars in the very first frame:
car_bbox = (141,175,45,29) car2_bbox = (295,170,55,39) bboxes = [car_bbox, car2_bbox]colors = [(0, 255, 255), (255, 255, 0)]
- Read the first frame of the input video and start an OpenCV multi-object tracker by initializing ...
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