使用体素数据进行“智能”安全气囊系统的人体姿势估计:问题和框架

IEEE Intelligent Vehicles Symposium, 2004 Pub Date : 2004-06-14 DOI:10.1109/IVS.2004.1336360

Shinko Y. Cheng, Mohan M. Trivedi

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引用次数: 19

摘要

本文研究了基于多相机体素的乘员姿态估计系统的可行性。为了使这个经过测试的人体建模系统能够在车辆的乘客座位上可靠地工作，我们提出了几个新的考虑因素，包括相机位置、分割和身体建模，以及所有这些都来自受限的相机设置的体素重建。为了描述乘员的姿态，提出了一个由头部和躯干组成的局部人体模型。将该模型的估计精度与地面真值进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Human posture estimation using voxel data for "smart" airbag systems: issues and framework

This paper examines the feasibility of a multi-camera voxel based occupant posture estimation system. Several new considerations are made to allow this tested human body modeling system to work reliably in the passenger seat of a vehicle, including camera position, segmentation, and body modeling with voxel reconstructions all from a constrained 4 camera setup. To describe occupant posture, a partial human body model consisting of a head and torso is proposed. The accuracy of the estimation of this model is compared against ground-truth.

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IEEE Intelligent Vehicles Symposium, 2004

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