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行人检测系统研究新进展及关键技术展望 被引量：36

Survey on the Latest Development of Pedestrian Detection System and Its Key Technologies Expectation
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摘要 行人检测系统(PDS)作为保障汽车、行人安全的一种主动安全手段,已成为产业界和研究界共同关注的一个研究热点.特别是近5年来,随着传感器、核心算法等的不断进步和使用,PDS研究发展很快.不同于已有的针对PDS早期工作的综述,本文从技术进展、原型系统进展两个方面重点总结了PDS近5年来的最新研究进展,指出了目前尚未解决的问题,并对PDS研究涉及的关键技术的发展做出展望. Pedestrian detection system （PDS） is an active safety technique which guarantees pedestrians and vehicles safety. It has become a hot research topic and made good progresse in the latest 5 years with the development and application of sensor technologies,kernel algorithms and so on.Different with other PDS survey papers,this paper surveys the major works in this field during the last five years from the aspects of techniques and prototype systems; some problems are pointed out and analyzed to be solved. The expectation of the future work is given at the end.
作者 许言午 曹先彬 乔红
机构地区 中国科学技术大学计算机科学技术系 中国科学院自动化研究所
出处 《电子学报》 EI CAS CSCD 北大核心 2008年第5期962-968,共7页 Acta Electronica Sinica
基金 国家863高技术研究发展计划(No.2007AA11Z240) 国家自然科学基金(No.60675039) 教育部新世纪优秀人才支持计划(No.NCET-07-0787)
关键词 行人检测系统 特征选择 分类机制 多传感器融合 pedestrian detection system feature selection classification mechaniun multi-sensor fusion
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献45

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  • 4Mohan A, Papageorgiou C, Poggio T. Example-based object detection in images by components[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001,23(4) : 349 - 361.
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二级参考文献57

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共引文献83

同被引文献364

引证文献36

二级引证文献315

电子学报
2008年 第5期

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