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PEM-ID: Identifying people by gait-matching using cameras and wearable accelerometers
2009
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
The ability to localize and identify multiple people is paramount to the inference of high-level activities for informed decision-making. In this paper, we describe the PEM-ID system, which uniquely identifies people tagged with accelerometer nodes in the video output of preinstalled infrastructure cameras. For this, we introduce a new distance measure between signals comprised of timestamps of gait landmarks, and utilize it to identify each tracked person from the video by pairing them with a wearable accelerometer node.
doi:10.1109/icdsc.2009.5289412
dblp:conf/icdsc/TeixeiraJDS09a
fatcat:imhuagl77rg7rpt7fvxau4qni4