Improving visual surveillance using infrared and visible imagery

使用红外和可见光图像改善视觉监控

• 批准号: RGPIN-2015-05350
• 负责人: Bilodeau, GuillaumeAlexandre
• 金额: $ 1.31万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=590376
• 关键词: Improving; visual; surveillance; using; infrared

Automatically detecting people for monitoring and video surveillance purposes is a very difficult problem to solve. Indeed, people in visible (Vis) imagery can be hard to detect when the color contrast with the background is low and when the illumination of the scene is poor. A possible solution is to add an infrared (IR) camera to monitor a scene. Because an infrared camera detects heat, it can detect successfully people in situations complementary to those of a visible camera.

自动检测用于监控和视频监控目的的人是一个非常难以解决的问题。实际上，当与背景的颜色对比度低时以及当场景的照明差时，可见（维斯）图像中的人可能难以检测。一种可能的解决方案是添加红外（IR）相机来监视场景。因为红外摄像机可以探测到热量，所以它可以在与可见光摄像机互补的情况下成功地探测到人。