STORM
robust dynamic object detection in cluttered indoor scenes via learned spatiotemporal cues
Detecting moving objects in cluttered indoor scenes is difficult because appearance alone is ambiguous. STORM learns spatiotemporal cues to robustly separate dynamic objects from static clutter, recovering moving obstacles that appearance-based detectors miss.
