Machine Learning Based Object Tracking
This is an incremental application of existing methods for object tracking in robotics or vision systems.
The paper tackles object tracking by using OpenCV to define a region of interest around an object and employing a tracking algorithm to keep it centered in the frame via servo motors, but no concrete performance numbers are provided.
Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper.