What are some effective object tracking techniques in AI?
There are several effective object tracking techniques, including Kalman filters, Mean Shift, and Deep Learning-based methods.
Can you explain how Kalman filters work for tracking?
Kalman filters use a series of measurements observed over time to estimate the state of a moving object, providing predictions and corrections.
What are the advantages of using Deep Learning for object tracking?
Deep Learning methods can handle complex scenarios, learn features automatically, and improve accuracy in challenging environments.
Are there any real-world applications of these techniques?
Yes, object tracking techniques are used in various fields like autonomous vehicles, surveillance systems, and augmented reality.
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