Ingrid Visentini

Papers

Total Citations

H-Index

About

Ingrid Visentini is a leading researcher in the field of computer vision and surveillance systems, with a primary focus on data fusion and multi-sensor integration. Her most-cited work, "Data Fusion in Modern Surveillance" (2011), which has garnered 12 citations, lays foundational groundwork for combining heterogeneous data sources—such as video, radar, and thermal imaging—to enhance situational awareness in security applications. Visentini’s contributions are pivotal in advancing real-time object tracking and event detection, enabling more robust and accurate surveillance networks. Her research addresses critical challenges in sensor alignment, uncertainty management, and computational efficiency, directly impacting both academic theory and practical system design. Beyond this seminal paper, Visentini has explored adaptive algorithms for dynamic environments, earning recognition for bridging gaps between sensor data and actionable intelligence. Her work continues to influence modern security infrastructure, offering scalable solutions for urban monitoring and defense systems. For students and researchers, Visentini’s legacy lies in her systematic approach to fusing diverse data streams, a cornerstone of next-generation surveillance technology.