Automatic background initialization in the presence of foreground clutter for video surveillance of crowded environments

在前景杂乱的情况下自动进行后台初始化，用于拥挤环境的视频监控

• 批准号: 484399-2015
• 负责人: Wong, Alexander
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584288
• 关键词: Automatic; background; initialization; presence; foreground

Due to increasing security concerns and emphasis on public safety, Aimetis Corp. seeks to design a video analytics systems for monitoring crowded environments like public transit hubs. This project aims to investigate computer vision algorithms for learning the appearance of a static background scene under the presences of foreground objects such as people and vehicles. Once the background scene is learned, Aimetis motion detection and tracking systems can be used for monitoring crowded scenes.

由于日益增长的安全担忧和对公共安全的重视，Aimetis Corp.寻求设计一种视频分析系统 用于监控拥挤的环境，如公共交通枢纽。这个项目的目的是研究计算机视觉算法，在前景物体存在的情况下学习静态背景场景的外观，例如人和 车辆。一旦了解了背景场景，就可以使用Aimetis运动检测和跟踪系统进行监控 拥挤的场面。