Human motion tracking-by-detection using point cloud data from multiple depth sensors

使用来自多个深度传感器的点云数据进行人体运动检测跟踪

• 批准号: RGPIN-2016-04165
• 负责人: Czarnuch, Stephen
• 金额: $ 2.19万
• 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=637053
• 关键词: Human; motion; tracking; detection; using

In research and practice, using computers to track people is important for many reasons including security, healthcare delivery, computer interfaces, and video gaming. Colour video cameras, and more recently colour cameras that can detect how far objects are from the cameras, have been used to track people in indoor environments without the use of any special equipment (like wearable sensors or sensors placed around the room). However, these only work well in ideal indoor environments – rooms with objects that don’t move very often, and rooms without a lot of clutter. In cases where rooms are dynamic (e.g., in hospital settings) or rooms are cluttered (e.g., busy homes), these methods of tracking do not work well. In these more challenging indoor environments, these systems often do not work because the single camera cannot see enough of the room to track the people or because the people are blocked by the clutter in the room.

在研究和实践中，使用计算机跟踪人是很重要的，原因有很多，包括安全，医疗保健提供，计算机接口和视频游戏。彩色摄像机，以及最近可以检测物体距离摄像机多远的彩色摄像机，已被用于在室内环境中跟踪人，而无需使用任何特殊设备（如可穿戴传感器或放置在房间周围的传感器）。然而，这些只有在理想的室内环境中才能很好地工作-房间里的物体不经常移动，房间里没有很多杂物。在房间是动态的情况下（例如，在医院环境中）或房间杂乱（例如，忙碌的家庭），这些方法的跟踪不工作很好。在这些更具挑战性的室内环境中，这些系统通常无法工作，因为单个摄像头无法看到足够的房间来跟踪人，或者因为人被房间中的杂乱物阻挡。