Simply put, locating an object in successive frames of a video is called tracking. Usually tracking algorithms are faster than detection algorithms. The reason is simple. When you are tracking an ...

This project demonstrates object tracking using OpenCV and Python. The main goal is to detect and track objects in video streams or real-time video from a camera. Features Object detection using ...

Abstract: Object tracking has been widely used in the field of computer vision. The OpenCV Library offers a wide range of Target Tracing Algorithms, which have been shown to be robust and effective.

Computer vision technologies for both video analytics and attribution are becoming increasingly important across a number of vertical markets. In support of computer vision development efforts, we've ...