We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...
The development of sensors capable of obtaining 3D scans of crime scenes is revolutionizing the ways in which crime scenes can be analyzed and at the same time is driving the need ...
Marcin Kwietniewski, Stephanie Wilson, Anna Topol,...
We discuss the task of reconstructing the topological map of an environment based on the sequences of locations visited by a mobile agent ? this occurs in systems neuroscience, wh...
Abstract— Linking semantic and spatial information has become an important research area in robotics since, for robots interacting with humans and performing tasks in natural env...
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...