智能视觉感知与理解研究态势分析

doi:10.3778/j.issn.1002-8331.1808-0125

计算机工程与应用 ›› 2018, Vol. 54 ›› Issue (19): 18-25.DOI: 10.3778/j.issn.1002-8331.1808-0125

智能视觉感知与理解研究态势分析

张迪1，2，鲁宁3，李宜展1，滕飞1，王丽1

1.中国科学院文献情报中心，北京 100190
2.中国科学院大学，北京 100190
3.中国科学院自动化研究所，北京 100190

出版日期:2018-10-01 发布日期:2018-10-19

Research situation analysis of intelligent visual perception and understanding

ZHANG Di1，2, LU Ning3, LI Yizhan1, TENG Fei1, WANG Li1

1.National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Online:2018-10-01 Published:2018-10-19

摘要/Abstract

摘要： 智能视觉感知与理解技术是人工智能、智慧城市、智慧交通、智能安防等领域的重要研究内容，具有重要的战略意义。介绍了各国智能视觉感知与理解相关政策规划，统计分析了中国国家自然科学基金相关规划项目；对大范围视频视觉感知与理解领域以及无人平台视觉感知与理解领域的Web of Science数据库收录论文进行了分析，对IBM、Google、华为、百度等领域主要公司相关产品进行了调研；从学术和产业两个角度，分别总结了智能视觉感知与理解的研究热点和发展态势。

关键词: 视觉感知与理解, 大范围, 无人平台, 政策规划, 研究态势, 产业应用

Abstract: Intelligent visual perception and understanding technology is an important research content in the fields of artificial intelligence, smart city, intelligent transportation, intelligent security, etc. It has important strategic significance. The relevant policy plans of intelligent visual perception and understanding in various countries have been first introduced, then, the related planning projects of NSFC have been statistically analyzed; afterwards, the SCI papers about large-scale video visual perception and understanding and the unmanned platform visual perception and understanding have been analyzed respectively, and related products of major companies have been conducted as IBM, Google, Huawei, Baidu, ect. Finally, from the academic and industrial perspectives, the research hotspots and development trends of intelligent visual perception and understanding are summarized.

Key words: visual perception and understanding, large-scale, unmanned platform, policy plans, research situation, industrial applications

张迪1，2，鲁宁3，李宜展1，滕飞1，王丽1. 智能视觉感知与理解研究态势分析[J]. 计算机工程与应用, 2018, 54(19): 18-25.

ZHANG Di1，2, LU Ning3, LI Yizhan1, TENG Fei1, WANG Li1. Research situation analysis of intelligent visual perception and understanding[J]. Computer Engineering and Applications, 2018, 54(19): 18-25.

智能视觉感知与理解研究态势分析

Research situation analysis of intelligent visual perception and understanding

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