• M.Mamatha

Pose estimation is a computer vision task that infers the pose of an individual or object in a picture or video. We can additionally think of pose estimation as the trouble of figuring out the function and orientation of a digital camera relative to a given person or object. This is usually executed with the aid of identifying, locating, and tracking the variety of key factors on a given object or person. Humans fall into a specific category of bendy objects. By bending our palms or legs, key factors will be in exceptional positions relative to others. When working with people, these key points represent major joints like elbows, knees, wrists, etc. This is referred to as human pose estimation. When there are a couple of human beings in a photo, pose estimation produces multiple independent key points. We want to figure out which set of key factors belongs to the identical person. We will use the 18-points model to educate on the COCO dataset. Here we are the use of Open Pose architecture. Open pose is a real-time multiple-person detection library, and it’s the first time that any library has shown the functionality of collectively detecting the human body, face, and foot key points. We can envision the power of pose estimation by thinking about its software in robotically monitoring human movement. In addition to monitoring human movement and activity, pose estimation opens up applications in a variety of areas, such as Augmented reality, Animation, Gaming, and Robotics. The objective is to estimate the multiple human poses in a given image. For accomplishing this, the important idea consists of using an Open pose network that earns to become aware of the key points of a specific man or woman in a given image.

"MULTI PERSON POSE ESTIMATION IN OPENCV USING OPENPOSE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h758-h761, April-2022, Available :http://www.jetir.org/papers/JETIR2204800.pdf

"MULTI PERSON POSE ESTIMATION IN OPENCV USING OPENPOSE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph758-h761, April-2022, Available at : http://www.jetir.org/papers/JETIR2204800.pdf