Human Pose Estimation for Virtual Trainers

Nilesh B. Kharade; Mandlik S.Y

Human Pose Estimation for Virtual Trainers

Authors: Nilesh B. Kharade, Mandlik S.Y

Unique Paper ID: 155050
Volume: 8
Issue: 12
PageNo: 1198-1200

Keywords: Pose Estimation Machine learning Key points

Abstract:
Human pose estimation localizes body key points to accurately recognize the posturesÂ of peopleÂ givenÂ a picture. This stepÂ may be aÂ crucial prerequisite to multiple tasks of computer vision which includeÂ human activityÂ recognition, human tracking, human-computer interaction, gaming, sign languages, and video surveillance. A deep structureÂ that mightÂ represent a manâ€™s bodyÂ in severalÂ models will help in improved recognition of body partsÂ and also theÂ spatial correlation between them. For hand detection, featuresÂ supportedÂ by hand shape and representation of geometrical details are derived withÂ the assistanceÂ of hand contour. An adaptive and unsupervised approachÂ supportedÂ region is primarily used forÂ the colorÂ image segmentation problem. This process includes the identification of key points of the body,Â which canÂ include body joints and parts. The identification partsÂ areÂ toughÂ thanks toÂ small joints.We propose a systemÂ which willÂ hep Detect human pose .

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ISSN: 2349-6002
Volume: 8
Issue: 12
PageNo: 1198-1200

Human Pose Estimation for Virtual Trainers

Available:https://ijirt.org/Article?manuscript=155050

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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