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202 Congo Shin, Sanguine Kim, Sang King, Seong-Won Lee, Joni Park, Best Abide, Long Abide, “Optical flow-based real-time object tracking using non-prior training active feature mode, ELSEVIER Real-Time

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What is optical flow-based real-time object?

Optical flow-based real-time object is a method used to track the motion and movement of objects in a video or image sequence by analyzing the patterns of pixel intensity changes.

Who is required to file optical flow-based real-time object?

Typically, computer vision researchers or developers working on video processing or object tracking tasks may use optical flow-based real-time object techniques.

How to fill out optical flow-based real-time object?

To fill out optical flow-based real-time object, you would need to apply the appropriate computer vision algorithms or libraries that support optical flow calculations to your video or image sequence.

What is the purpose of optical flow-based real-time object?

The purpose of optical flow-based real-time object is to provide information about the motion and movement of objects in a video or image sequence. It is often used in applications such as video surveillance, autonomous navigation, and action recognition.

What information must be reported on optical flow-based real-time object?

The optical flow-based real-time object typically reports information such as the velocity, direction, and intensity of the object's motion, as well as any associated uncertainties or errors in the estimation.

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