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Example-based Human Motion Denoising
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| Citations: | 9 - 0 self |
BibTeX
@MISC{Lou_example-basedhuman,
author = {Hui Lou and Jinxiang Chai},
title = {Example-based Human Motion Denoising},
year = {}
}
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Abstract
Abstract—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient motion denoising technique for simultaneous removal of noise and outliers in corrupted human motion data. The key idea of our approach is to construct a series of filter bases from prerecorded human motion data and use them along with robust statistics to filter corrupted human motion data. Mathematically, we formulate the motion denoising in an optimization framework. The objective function measures distance between the filtered motion and noisy input as well as how well the filtered motion matches spatial-temporal patterns embedded in natural human motion. Optimizing the cost function not only filters noise and outliers in corrupted motion but also preserves spatial-temporal patterns of natural human motion. We demonstrate the effectiveness of our system by experimenting with both real and simulated motion data, and by comparing with baseline methods and existing commercial softwares such as Vicon Blade. We also show the effectiveness of our algorithm on filling in missing values of motion capture data. Index Terms—motion capture data, motion data processing, statistical data analysis, filtering, optimization, robust statistics 1
Keyphrases
example-based human motion denoising motion capture data robust statistic corrupted human motion data natural human motion filtered motion vicon blade index term motion capture data optimization framework motion denoising simultaneous removal spatial-temporal pattern simulated motion data statistical data analysis motion match spatial-temporal pattern key idea human motion data corrupted motion baseline method efficient motion denoising technique motion data processing filter base noisy input cost function objective function measure distance commercial software
