International Journal of Science, Engineering and TechnologyAuthors: Anurag Chandana, Bhupendra Ram, Mukesh Tiwari
Abstract: Every tracking mechanism requires object detection where object tracking is the process in which locating an object or multiple objects is done using either the static or dynamic camera. It is important and challenging to detect and track objects in real-time. The recent focus of computer vision research has been on detecting and tracking multiple objects in dynamic environments. The position of a person or object in an image or video can be inferred using pose estimation, a task in computer vision. Pose estimation is a problem that involves determining the position and orientation of a camera in relation to a particular person or object. Identifying, locating, and tracking a number of key points on a given object or person is the typical way to do this. Corners or other significant features can be significant for objects, while in humans, these key points represent major joints like an elbow or knee. Tracking these key points in images and videos is the objective of our machine learning models. CNN can be utilized to detect yoga postures and their probability.
DOI: http://doi.org/10.5281/zenodo.20338984
