Body Posture Detection and Comparison Between OpenPose, MoveNet and PoseNet

Human body posture recognition has piqued the interest of numerous academics because of its crucial issues and wide range of applications. Simple posture recognition to complex behavior comprehension in surveillance systems are among the uses. The results are significant in advancements of approaches linked to body posture representation and recognition. The use cases and general framework of posture of human body identification are discussed in this research work. In this research work, we offer a method for detecting body posture in Tensor Flow for tracking correct posture of persons performing various activities. The study also underlines the benefits and drawbacks and comparison between two widely used posture estimation models.