Title

Automatic Visual Tracking For Analysis Of Lifting

Keywords

Background subtraction; Image segmentation; Image tracking; Silhouette extraction

Abstract

This paper presents the tracking and analysis of lifting. Included in this paper is tracking along important regions of the body such as the torso. We propose a method which detects improper and proper lifting of large objects as seen in manufacturing and other industrial environments. We also propose the same method to be used as a tracking device for the torso and object. This paper includes a study of the ergonomics of lifting and those aspects of ergonomics that we included in the creation of our algorithm. Through proper classification of important regions of the body, conclusions regarding the entities proper or improper method of lifting can be made. Along with the importance of ergonomics in the world, this paper also addresses the importance of tracking specific regions over time. By tracking the object that is lifted, a history can be developed on the movement of the object. In that history, the location of the object at specific times and how and where it was moved, dropped, etc. can be stored. Therefore this paper presents methods which can help ensure the safety of the object and the person through computer and camera monitoring.

Publication Date

12-1-2005

Publication Title

Technical Paper - Society of Manufacturing Engineers

Volume

TP05PUB42

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

77956440177 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77956440177

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