Best Practices for Implementing Optical Flow in Real-time Video Processing

I’m currently working on a real-time video processing project that involves optical flow analysis to track motion in video frames. I’m using Nvidia GPUs to accelerate the calculations and optimize performance. However, I’m encountering some challenges with accuracy and frame rates, and I’m wondering if there are any best practices or tips for implementing optical flow in real-time video processing.

Specifically, I’m interested in understanding how to optimize performance while maintaining accuracy, what techniques can be used to reduce noise and artifacts, and how to handle complex motion patterns and occlusions. I’d love to hear from other developers who have experience with implementing optical flow in real-time video processing and can share their insights and best practices.