Feature-based detection using Bayesian data fusion
نویسندگان
چکیده
منابع مشابه
Vision Based Wildfire Detection Using Bayesian Decision Fusion Framework
Computational vision-based fire and flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. Several signal and image processing methods are developed for the detection of fire, flames and smoke in large and open spaces with a range of up to 30 meters to the surveillance camera in visible-range video. This paper proposes a new appr...
متن کاملFeature Dimension Reduction of Multisensor Data Fusion using Principal Component Fuzzy Analysis
These days, the most important areas of research in many different applications, with different tools, are focused on how to get awareness. One of the serious applications is the awareness of the behavior and activities of patients. The importance is due to the need of ubiquitous medical care for individuals. That the doctor knows the patient's physical condition, sometimes is very important. O...
متن کاملFeature fusion for music detection
Automatic discrimination between music, speech and noise has grown in importance as a research topic over recent years. The need to classify audio into categories such as music or speech is an important part of the multimedia document retrieval problem. This paper extends work previously carried out by the authors which compared performance of static and transitional features based on cepstra, ...
متن کاملDistributed Anomaly Detection Using Satellite Data Fusion
There has been a tremendous increase in the volume of Earth science data over the last decade from modern satellites, in-situ sensors and different climate models. All these datasets need to be co-analyzed to find interesting patterns or to search for extremes or outliers. Information extraction from such rich data sources using advanced data mining methodologies is a challenging task not only ...
متن کاملVideo Fire Detection Algorithm using Multi-Feature Fusion
At present, the moving target detection and flame characteristics extraction almost become the most important parts in majority of video fire detection systems. Through the above two-part study, a new fire features detection method is presented in precise moving target area. That is, using the improved background difference method and flame features (such as the color and uniformity, Wavelet en...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Image and Data Fusion
سال: 2013
ISSN: 1947-9832,1947-9824
DOI: 10.1080/19479832.2013.824029