Harco Kuppens

Papers

Total Citations

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About

Harco Kuppens is a researcher specializing in efficient image and video analysis, with a particular focus on distance map algorithms and their application to video surveillance. His most notable contribution is the development of the **timed fast exact Euclidean distance (tFEED) maps** (2005, 9 citations), a method that significantly accelerates the computation of exact Euclidean distance transforms—a fundamental operation in image processing. This work addresses the computational bottleneck of naive implementations, enabling faster and more accurate distance calculations for tasks like object detection and segmentation. Building on this, Kuppens applied distance maps to **video surveillance** (2006, 5 citations), demonstrating how automatic motion and distance detection can achieve real-time performance while maintaining robustness against noise. His research bridges theoretical algorithm design with practical, real-world deployment, emphasizing efficiency, accuracy, and reliability. Though his citation counts are modest, Kuppens’ work represents a focused, impactful contribution to the field, offering foundational tools for researchers and engineers working on real-time video analysis and surveillance systems.