Vision algorithms for Emerging Applications

新兴应用的视觉算法

• 批准号: RGPIN-2015-04974
• 负责人: Shehata, Mohamed
• 金额: $ 1.6万
• 依托单位: Memorial University of Newfoundland
• 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=637670
• 关键词: Vision; algorithms; Emerging; Applications

Video surveillance represents one of the fastest growing industries in Canada and the world. It is estimated that the revenue will be $15.9 billion in 2014 compared $14.1 billion in 2013. Terrorism and high crime rates in our societies demand more efficient surveillance systems. With the recent advances in imagery sensor technology and aerial vehicles, aerial surveillance has become a very active area, especially with the introduction of Wide Area Motion Imagery (WAMI) in 2007. At the core of these surveillance systems are object detection, tracking, and activity recognition.

视频监控是加拿大和世界上增长最快的行业之一。据估计，2014年的收入将为159亿美元，而2013年为141亿美元。我们社会中的恐怖主义和高犯罪率要求更有效的监视系统。随着近年来图像传感器技术和飞行器的进步，空中监视成为一个非常活跃的领域，特别是随着2007年广域运动图像(WAMI)的引入，这些监视系统的核心是目标检测、跟踪和活动识别。