readme.md

11. Object tracking

Notebook
Video

Quiz

1. The Meanshift algorithm in computer vision is used for:

• Image segmentation
• Object detection
• Object tracking
• Feature extraction

2. How does the object tracking process work in OpenCV?

• The user selects the object to be tracked and the program automatically tracks it.
• The program detects the object in each frame of the video sequence and updates its position accordingly.
• The program uses machine learning algorithms to identify the object in each frame of the video sequence
• The program uses a pre-trained neural network to track the object in the video sequence

3. Which of the following is an advantage of using a pre-built tracker in OpenCV?

• It is faster than implementing a custom tracker
• It is more accurate than implementing a custom tracker
• It allows for more customization than implementing a custom tracker
• None of the above

4. Which OpenCV function is commonly used to measure the FPS(Frame per second)?

• cv2.VideoCapture()
• cv2.imshow()
• cv2.getTickCount()
• cv2.waitKey()

5. What is the recommended FPS for real-time computer vision applications?

• 10-15 FPS
• 30 FPS
• 60 FPS
• There is no recommended FPS and it depends on the specific application