Occupant posture analysis with stereo and thermal infrared video: Algorithms and experimental evaluation
Occupant posture analysis with stereo and thermal infrared video: Algorithms and experimental evaluation
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DOI：
10.1109/tvt.2004.835526
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发表时间：
2004-11-01
影响因子：
6.8
通讯作者：
Krotosky, SJ
中科院分区：
文献类型：
--
作者：
Trivedi, MM;Cheng, SY;Krotosky, SJ
汽车乘员姿态的动态分析是设计“智能安全气囊”系统的关键要求。基于视觉的技术可以使用关于乘员尺寸、姿势的精确信息，特别是在做出安全气囊展开决策时的位置。需要有新的感官系统和算法。专为捕捉、分析和分类基于动态视频的新一代安全气囊信息而开发。本文系统地研究了基于立体和热敏长波红外视频的实时视觉系统，并对其进行了系统的评价。它还包括几个试验台的设计，包括用于系统实验研究的仪表化车辆，以评估汽车的独立和比较评估。广泛的实验测试结果表明，立体声和。基于热敏长波红外视频的乘员位姿分析系统。
Dynamic analysis of vehicle occupant posture is a key requirement in designing "smart airbag" systems. Vision-based technology could enable the use of precise information about the occupant's size, posture, and, in particular, position in making airbag-deployment decisions. Novel sensory systems and algorithms need to be. developed for capture, analysis, and classification of dynamic video-based information for a new generation of safe airbags. This paper presents a systematic investigation in which stereo and thermal long-wavelength infrared video-based real-time vision systems are developed and systematically evaluated. It also includes the design of several test beds, including instrumented vehicles for systematic experimental studies for the evaluation of independent and comparative evaluation in automobiles. Results of extensive experimental trials suggest basic feasibility of stereo and. thermal long-wavelength infrared video-based occupant position and posture-analysis system.