In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on zero-order statistics is utilized for the moving object segmentation. Additionally, we propose a generic approach to simultaneous object tracking and multisensor image registration. An efficient face detection system is s...

This paper describes how multisensor data fusion increases reliability of pedestrian classification while using a Bayesian approach. The proposed approach fuses information provided by a laser range scanner and a monocular grey-level camera. Fusion is applied at feature level by using sets of related features and possibly correlation sensor observations. The clue is to combine in a probabilisti...

"Mapping systems" (“mapping approach”), real-time sensor-actuator systems ("sensor approach") or the combination of both (“Real-time approach with map overlay”) determine the process control in mobile application systems for spatially variable fertilization. Within the integrated research project “Information Systems Precision Farming Duernast” (IKB Duernast) the implementation of the “Real-tim...

The knowledge of the characteristics of the vegetation cover is of great interest in climate change process understanding due to its important role in controlling water and carbon cycles. The properties of vegetated surfaces are usually estimated from remote observations through semi-empirical regression models or using radiative transfer models, which simulate the interactions of solar radiati...

During long-term service, buried pipelines are subjected to complex combined loads, including internal and external loads pipe–soil interactions. In this paper, a multisensor monitoring network is proposed for the structural health (SHM) performance assessment of metallic in complicated stress state. However, general, longitudinal bending axial thermal cannot be directly obtained by separately ...

Collaborative localization and discrimination of multiple acoustic sources is an important problem in Wireless Sensor Networks (WSNs). Localization approaches can be categorized as signal-based and feature-based methods. The signal-based methods are not suitable for collaborative localization in WSNs because they require transmission of raw acoustic data. In feature-based methods, signal featur...