#002 Advanced Computer Vision - Motion Estimation With Optical Flow

Highlights: Techniques like Object Detection have enabled computers of today to detect object instances easily. However, tracking the motion of objects such as vehicles across all frames of a video, estimating their velocity, and predicting their motion requires an efficient method such as Optical Flow. In our previous posts, we provided a detailed explanation about two of the most common Optical Flow methods – the Lucas Kanade method and the Horn & Schunck method. In this tutorial post, we will go through the fundamentals of Optical Flow and study some of the advanced algorithms used in calculating Optical Flow. An important piece of information that common object detection techniques miss out, is the relationship between objects in two consecutive frames.