Loren Fiore

Papers

Total Citations

H-Index

About

Loren Fiore’s research lies at the intersection of computer vision, robotics, and surveillance system design, with a primary focus on solving the critical problem of optimal camera placement. His work addresses a fundamental challenge: how to position cameras to maximize visibility and performance, especially in dynamic environments. Fiore’s most influential contributions, including his 2008 and 2009 papers (each garnering 16 citations), systematically explore the issues and solutions in surveillance camera placement, providing frameworks that balance coverage, cost, and adaptability to changing scenes. These studies have become foundational references for researchers designing automated inspection and security systems. In a more specialized vein, his 2007 work on “Visibility in motion” introduces a novel approach using mobile robots and modified pursuit curves to maintain multi-angle visibility of moving targets—a concept with implications for autonomous tracking and pursuit-evasion scenarios. While his citation counts reflect a focused, niche impact, Fiore’s contributions are particularly valued by practitioners in surveillance and robotics who require principled, practical guidance on sensor deployment. His work bridges theoretical visibility analysis with real-world implementation challenges, making him a notable figure in applied computer vision.