Object Detection and Recognition in Active Video

活动视频中的对象检测和识别

• 批准号: RGPIN-2016-03939
• 负责人: Li, ZeNian
• 金额: $ 1.6万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634673
• 关键词: Object; Detection; Recognition; Active; Video

Object detection and recognition localize visual objects and recognize their corresponding classes, identities, and activities in images and videos. This task is the foundation of understanding the image and video content, thus it is one of the central topics in Computer Vision and Multimedia. In general, digital video taken by humans is purposive -- aiming for the Object(s) of Interest (OOI). Typical examples include filming, professional video cameramen covering sporting events, or an amateur shooting at a tourist scene (e.g., buildings, sculptures/statues, and activities of the crowd/people). Efforts are made to locate the OOI, examine it closely by close-ups or multiple views, and follow it if it is moving. We call the video thus produced

对象检测和识别定位视觉对象并识别图像和视频中相应的类别、身份和活动。 该任务是理解图像和视频内容的基础，因此它是计算机视觉和多媒体的中心主题之一。 一般来说，人类拍摄的数字视频是有目的的——针对感兴趣的对象（OOI）。典型的例子包括拍摄、专业摄像机拍摄体育赛事或在旅游景点（例如建筑物、雕塑/雕像以及人群/人们的活动）进行业余拍摄。 我们会努力定位 OOI，通过特写镜头或多个视图仔细检查它，并在它移动时跟踪它。我们将这样制作的视频称为