A SURVEY ON HUMAN POSE ESTIMATION USING MACHINE LEARNING TECHNIQUES

K. Kamaladevi; Dr. K. P. Sanal Kumar; Dr.S. Anu H Nair

doi:10.17605/OSF.IO/KTFUQ

Authors

K. Kamaladevi Research Scholar Department of Computer and Information Sciences, Annamalai University, Chidambaram, India
Dr. K. P. Sanal Kumar Assistant professor PG Department of Computer Science, R.V Government Arts College, Chengalpattu, India
Dr.S. Anu H Nair Assistant professor Department of CSE, Annamalai University, Chidambaram, India [Deputed to WPT, Chennai

DOI:

https://doi.org/10.17605/OSF.IO/KTFUQ

Keywords:

Human pose estimation, Mechine Learning

Abstract

Human posture assessment is a deeply rooted problem in computer vision that has implemented many challenges in the past. Analysis of video surveillance, biometric, human activitices in many fields such as home-assisted, health surveillance can be beneficial.In fast-moving life, people usually prefer exercising at home but they need a instructor to evaluate their exercise form.Human pose recognition can be used to use self-instructional training methods such as watching fitness vidoes, that allows people to learn and train properly. Today in developing countries faced many sensitive issues in public places, so monitoring is manditory. Human pose estimation application like video surveillance system is used for monitoring human activity in public areas like malls, hospitals, beach etc.Many researchers used different application for give best result in human pose technique, in this survey compare whichalgorithm gives best performance in human pose estimation

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