RF-compass: robot object manipulation using RFIDs
Proceedings of the 19th annual international conference on Mobile computing & networking
HiFi: hide and find digital content associated with physical objects via coded light
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
| Hi-index | 0.00 |
We solve the problem of localizing and tracking household objects using a depth-camera sensor network. We design and implement Kin sight that tracks household objects indirectly--by tracking human figures, and detecting and recognizing objects from human-object interactions. We devise two novel algorithms: (1) Depth Sweep--that uses depth information to efficiently extract objects from an image, and (2) Context Oriented Object Recognition--that uses location history and activity context along with an RGB image to recognize object sat home. We thoroughly evaluate Kinsight's performance with a rich set of controlled experiments. We also deploy Kinsightin real-world scenarios and show that it achieves an average localization error of about 13 cm.