Memory-based multi-camera handover with non-overlapping fields of view

Abstract

Object tracking is an important task within the field of computer vision, and the multi-camera tracking with disjoint view is more applicable. This paper focus on introducing human memory mechanism into multi-camera human tracking problem that the Field Of View (FOV) of cameras are not necessarily overlapping, and proposing a camera handover scheme based on memory. In the modeling process, every target goes through transmission and storage of three spaces: sensory memory, short-term memory and long-term memory. After learning, memory-based target handoff can remember target appeared earlier, and when faced with similar goals, it can extract and activate the target in memory in time, so that it can quickly achieve object handoff between different camera tracking. Preliminary experiments show that this scheme is effect in camera handover and multi-camera human tracking. © 2011 Springer-Verlag Berlin Heidelberg.