| 摘要: |
| 计算机视觉技术在工程工业和日常生活中已经得到广泛应用，但尚未深入城市设计领域。其精准监测的优势既能避免人眼观察的偏差，又不会像便携式测试仪器一样对被测试者造成心理困扰而导致实验误差。城市街道空间承载着市民丰富的日常生活，是研究行为—空间关联的绝佳场所。将计算机视觉技术引入城市街道空间研究是一项新的尝试。不同于传统的肉眼观察感知或单张图片分析的方法，该技术意在通过对连续的摄录视频进行帧间差值分析以得出精确的行为—空间关联图像，准确客观地分析并还原人群的空间行为模式，进而从人群空间行为的层面指导城市街道空间设计，推动城市公共空间精准化设计与研究的发展。 |
| 关键词: 风景园林 街道空间 计算机视觉技术 人群行为 |
| DOI：10.14085/j.fjyl.2017.10.0050.08 |
| 分类号:TU986 |
| 基金项目:国家自然科学基金面上基金项目“基于人群行为分析的城市型风景名胜区边界城市空间原型研究”（编号51678394/E080202）；高等学校学科创新引智计划资助项目“低碳城市与建筑创新引智基地”（编号B13011）；天津市艺术科学规划一般项目“天津城区历史环境保护与再生研究”（编号E14006） |
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| The Application Potential Research on Computer Vision Technology in Urban Street Spaces |
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HU Yi-ke, DING Meng-yue, WANG Zhi-qiang, ZHANG Ke
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Tianjin University
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| Abstract: |
| Computer Vision Technology has been widely used in the engineering industry and daily life, but not yet deep into urban design. The advantage of its accurate monitoring can avoid the deviation of the human eye observation, it does not bring the experimental error to the tester as a portable test instrument. Urban street space is one of the most important urban public spaces, carrying the rich daily life of the citizens, is a great place to study the association of behavior and space. The introduction of computer vision technology into urban street space design is a new attempt, different from traditional methods of human eye observation or image analysis. The purpose of this paper is to obtain the accurate behavior spatial association image by analyzing the frame difference between the successive video cameras, and to promote the development of precision design and research of urban public space. |
| Key words: landscape architecture street space computer vision technology crowd behavior |
| 引用本文: | 胡一可,丁梦月,王志强,张可.计算机视觉技术在城市街道空间设计中的应用[J].风景园林，2017，24（10）：50-57. |
| HU Yi-ke,DING Meng-yue,WANG Zhi-qiang,ZHANG Ke.The Application Potential Research on Computer Vision Technology in Urban Street Spaces[J].Landscape Architecture Journal, 2017, 24(10):50-57. |
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