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https://github.com/kmr0877/realtime-object-tracking-using-opencv
Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.
https://github.com/kmr0877/realtime-object-tracking-using-opencv
contours cv2 feature-detection feature-extraction ffmpeg ffmpeg-wrapper grayscale-images imageio imageio-framework numpy numpy-arrays numpy-library object-detection object-tracking objectmapper opencv pylab python3 shutil video-processing
Last synced: 8 days ago
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Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.
- Host: GitHub
- URL: https://github.com/kmr0877/realtime-object-tracking-using-opencv
- Owner: kmr0877
- License: mit
- Created: 2017-08-28T16:56:48.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2017-10-23T13:58:27.000Z (about 7 years ago)
- Last Synced: 2023-03-10T17:03:41.433Z (over 1 year ago)
- Topics: contours, cv2, feature-detection, feature-extraction, ffmpeg, ffmpeg-wrapper, grayscale-images, imageio, imageio-framework, numpy, numpy-arrays, numpy-library, object-detection, object-tracking, objectmapper, opencv, pylab, python3, shutil, video-processing
- Language: Jupyter Notebook
- Size: 68.2 MB
- Stars: 6
- Watchers: 1
- Forks: 7
- Open Issues: 0