Human Falling Detection Algorithm Based on Multisensor Data Fusion with SVM

A Data Fusion Algorithm for Multisensor Systems

Data fusion techniques are used in many tracking and surveillance systems as well as in applications where reliability is of a main concern. One solution for design of such systems is to employ a number of sensors (maybe of different types) and to fuse the information obtained from all these sensors on a central processor. Past attempts to solve this problem required an organization of a feedba...

A New Method for Multisensor Data Fusion Based on Wavelet Transform in a Chemical Plant

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

Multisensor Fusion with Hyperspectral Imaging Data: Detection and Classification

■ We present two examples that show how fusing data from hyperspectral imaging (HSI) sensors with data from other sensors can enhance overall detection and classification performance. The first example involves fusing HSI data with foliage-penetration synthetic aperture radar (FOPEN SAR) data; the second example involves fusing HSI data with high-resolution imaging (HRI) data. The fusion of HSI...

Multisensor Data Fusion

Multisensor Data Fusion

IMultisensor data fusion refers to the acquisition, processing and synergistic combination of information gathered by various knowledge sources and sensors to provide a better understanding of a phenomenon. It is a fascinating and rapidly evolving field that has generated a lot of excitement in the research and development community. These concepts are being applied to a wide variety of fields ...