Publication

Key-posture extraction out of human motion data by curve simplification

Daniel Thalmann
2001
Conference Papers

Abstract

Recent progress in 3-D capture technology has made it possible to obtain much of realistic motion data of human subjects. Being captured in high frame rates, compression or extraction of key postures out of the motion data is useful for storage, transfer and browsing among them: this can serve as an important pre-processing for applications such as rehabilitation, ergonomics and sports physiology. This paper addresses these problems by treating the motion data as trajectory curves in a high-dimensional space and doing a novel application of a curve simplification algorithm, typically used for planar curves, to human motion data.

Official source

https://infoscience.epfl.ch/entities/publication/b8186e7b-c922-4e01-896f-7bd188eb549d

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Daniel Thalmann
2001
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/b8186e7b-c922-4e01-896f-7bd188eb549d

About this result

Related concepts (32)

Motion capture

Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications, and for validation of computer vision and robots. In filmmaking and video game development, it refers to recording actions of human actors and using that information to animate digital character models in 2D or 3D computer animation. When it includes face and fingers or captures subtle expressions, it is often referred to as performance capture.

Data compression

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

Motion compensation

Motion compensation in computing, is an algorithmic technique used to predict a frame in a video, given the previous and/or future frames by accounting for motion of the camera and/or objects in the video. It is employed in the encoding of video data for video compression, for example in the generation of MPEG-2 files. Motion compensation describes a picture in terms of the transformation of a reference picture to the current picture. The reference picture may be previous in time or even from the future.

Related publications (28)

Key-posture extraction out of human motion data by curve simplification

Chat with Graph Search

Energy- and cost-efficient CO2 capture from dilute emissions by pyridinic-graphene membranes

Functional integration through femtosecond laser-induced nano-structuration of glass

Casting States of Matter: the construction of thermodynamic 3D-models at the end of the 19th century