Estimating Fusion Weights of a Multi-Camera Eye Tracking System by Leveraging User Calibration Data
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This paper provides an overview of a multi-modal wearable computer system, SNAP&TELL. The system performs real-time gesture tracking, combined with audio-based control commands, in order to recognize objects in an environment, including outdoor landmarks. ...
The development of road telematics requires the management of continuously growing road databases. Mobile mapping systems can acquire this information, while offering an unbeatable productivity with the combination of navigation and videogrammetry tools. H ...
The development or road telematics requires the management of continuously growing road databases. Mobile mapping systems can acquire this information, while offering an unbeatable productivity with the combination of navigation and videogrammetry tools. ...
Remote detection by camera offers a versatile means for recording people activities. Relying principally on changes in video images, the method tends to fail in presence of shadows and illumination changes. This paper explores a possible remedy to these pr ...
The Swiss curvilinear coordinate system for road data is currently under review. The geodetic laboratory at EPFL has designed a mobile system for the automatic determination of the road geometry: the Photobus. ...
This paper gives an overview of a multi-modal wearable computer system 'SNAP&TELL', which performs real-time gesture tracking combined with audio-based system control commands to recognize objects in the environment including outdoor landmarks. Our system ...
This paper presents an all-airborne approach for the geometric self-calibration of medium format digital cameras used in direct georeferencing. The motivation for this research was the problems of variation of distortion within the photographic field and h ...
A novel approach is presented to locate dense crowd of people in a network of fixed cameras given the severely degraded background subtracted silhouettes. The problem is formulated as a sparsity constrained inverse problem using an adaptive dictionary cons ...
In this work we present and evaluate a novel 3D approach to track single people in surveillance scenarios, using multiple cameras. The problem is formulated in a Bayesian filtering framework, and solved through sampling approximations (i.e. using a particl ...