ACF

People detection in fish-eye top-views

Is the detection of people in top views any easier than from the much researched canonical fronto-parallel views (e.g. Caltech and INRIA pedestrian datasets)? We show that in both cases people appearance variability and false positives in the background limit performance. Additionally, we demonstrate that the use of fish-eye lenses further complicates the top-view people detection, since the person viewpoint ranges from nearly-frontal, at the periphery of the image, to perfect top-views, in the image center, where only the head and shoulder top profiles are visible.

Preliminary validation studies on ACF passive sampler for PCDD/Fs and PCBs in water

Hydrophobic pollutants as polychlorinated biphenyls (PCBs), polychlorinated dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs) have frequently been identified in several matrices of aquatic ecosystems.
The knowledge of the actual concentrations of these pollutants is essential for integrated water quality management. Due to their very low, but toxicologically relevant levels in natural waters, direct determination of their concentrations is difficult with common analytical techniques.

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma