Charles B. Fleming

Papers

Total Citations

206

H-Index

About

Charles B. Fleming has established himself as a notable researcher at the intersection of computer vision, privacy protection, and human activity recognition. His work addresses one of the most pressing challenges in modern surveillance and assistive robotics: enabling intelligent systems to understand human behavior without compromising individual privacy. Fleming's most significant contribution centers on developing methodologies for privacy-preserving human activity recognition using extreme low-resolution video. This innovative approach allows computer vision systems — including robots designed to assist in daily life — to accurately interpret human actions while deliberately limiting the visual fidelity of captured footage, thereby preventing surreptitious or invasive recordings. This elegant solution navigates a critical tension between functional utility and ethical responsibility in automated perception systems. His research has garnered substantial academic attention, accumulating over 200 citations across closely related publications from 2016 and 2017, reflecting the timeliness and relevance of his work during a period of rapid growth in smart home technology and autonomous robotics. Fleming's contributions are particularly valuable to researchers and engineers designing ethically conscious AI systems, offering a technical framework that respects human dignity while preserving the functional capabilities essential for assistive and autonomous technologies.