Time-Varying-Geometry Object Surveillance Using A Multi-Camera Active-Vision System

This paper presents a novel, agent-based sensing-system reconfiguration methodology for the recognition of time-varying-geometry targets (objects or subjects). A multi-camera activevision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction time horizon. The proposed method seeks to maximize the target visibility in a cluttered, dynamic environment. Simulated experiments clearly show a tangible potential performance gain.