Ezeh, C;
Holloway, H;
Carlson, T;
(2015)
MoRe-T2: An easy-to-use, low cost tracking system for mobility research.
In:
(Proceedings) TRANSED: International Conference on Mobility and Transport for Elderly and Disabled Persons, Lisbon, Portugal.
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Abstract
Measuring how difficult access is for people is important in order to achieve inclusive access for all. One practical and effective way of measuring difficulty in people’s access is to track how they move around in a given environment. However, systems for tracking people are often costly and complicated to use. This article concerns the development and application of a low cost computer vision-based tracking system called MoRe-T2 (mobility research trajectory tracker). MoRe-T2 can be used to quickly characterize the trajectories people make under different conditions (e.g. when using a wheelchair, exiting through a train’s sliding doors, approaching a ramp or moving through crowded environments). A MoRe-T2 system uses video cameras such as a webcam to track the pose of QR-code-like markers. MoRe-T2 markers enable orientation as an extra level of tracking information and they uniquely identify many participants. Both of these features of a marker are unavailable in markers of more standard techniques for video tracking like ‘blob’ detection (i.e. simply tracking a blob of a certain colour for example). These markers can be simply printed onto paper and can then be attached to people or assistive technologies, such as a wheelchair and a scooter. The MoRe-T2 cameras are time- synchronized and are mounted so that at any given time every marker in the experiment area is visible to at least one camera. In a simple process, the cameras’ positions can be sufficiently estimated automatically using a single marker. Videos of the scene are recorded and afterwards, the recorded videos are processed with the cameras’ estimated position using software called ARToolkitPlus library. This software calculates the position and orientation of markers with respect to the cameras. The end result is a detailed map describing the time-locked trajectories plotted on a 3D time independent plane.
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