computer-vision-7
RF-based Visual Tracking
3260 papers • 126 benchmarks • 313 datasets
From mID: https://doi.org/10.1109/DCOSS.2019.00028 "The key to offering personalised services in smart spaces is knowing where a particular person is with a high degree of accuracy. Visual tracking is one such solution, but concerns arise around the potential leakage of raw video information and many people are not comfortable accepting cameras in their homes or workplaces. We propose a human tracking and identification system (mID) based on millimeter wave radar which has a high tracking accuracy, without being visually compromising. Unlike competing techniques based on WiFi Channel State Information (CSI), it is capable of tracking and identifying multiple people simultaneously. Using a lowcost, commercial, off-the-shelf radar, we first obtain sparse point clouds and form temporally associated trajectories." ( Image credit: mID: Tracking and Identifying People with Millimeter Wave Radar )
(Image credit: Papersgraph)
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