Radial Coverage Strength for Optimization of Multi-Camera Deployment

TL;DR

This paper introduces radial coverage strength, a novel metric for evaluating multi-camera deployment effectiveness by considering target orientation, and formulates an optimization approach to maximize object area coverage.

Contribution

It proposes the concept of radial coverage strength and develops an optimization framework for multi-camera deployment considering target orientation.

Findings

The method improves coverage efficiency compared to existing approaches.

Simulation and experiments validate the effectiveness of the proposed approach.

The approach effectively accounts for target pose in camera deployment optimization.

Abstract

In this paper, a new concept, radial coverage strength, is first proposed to characterize the visual sensing performance when the orientation of the target pose is considered. In particular, the elevation angle of the optical pose of the visual sensor is taken to decompose the visual coverage strength into effective and ineffective components, motivated by the imaging intuition. An optimization problem is then formulated for a multi-camera network to maximize the coverage of the object area based on the strength information fusion along the effective coverage strength direction through the deployment of the angle between radial coverage vector of the camera optical pose. Both simulation and experiments are conducted to validate the proposed approach and comparison with existing methods is also provided.