Johan Ekekrantz

Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario

We present a novel method for clustering segmented dynamic parts of indoor RGB-D scenes across repeated observations by performing an analysis of their spatial-temporal distributions. We segment areas of interest in the scene using scene differencing for change detection. We extend the Meta-Room met…