Real-time data processing has become an increasingly important challenge as the need for faster analysis of big data widely manifests itself. In this research, several methods of Computational Intelligence have been applied for identifying possible anomalies in two datasets. The proposed framework shows a promising potential for anomaly detection and its lightweight, real-time features make it ...

Precise eye status detection and localization is a fundamental step for driver distraction detection. The efficiency of any learning-based object detection method highly depends on the training dataset as well as learning parameters. The reported research develops optimum values of Haar-training parameters to create a nested cascade of classifiers for real-time eye status detection. The detecto...

Most face detection algorithms locate faces by classifying the content of a detection window iterating over all positions and scales of the input image. Recent developments have accelerated this process up to real-time performance at high levels of accuracy. However, even the best of today’s computational systems are far from being able to compete with the detection capabilities of the human vi...

Mainly for economic and maintainability reasons, more and more dependable real-time systems are built from Commercial Off-The-Shelf (COTS) components. To build these systems, a commonly-used assumption is that computers are fail-silent. The goal of our work is to determine the coverage of the fail-silence assumption for computers executing a real-time run-time support built exclusively from COT...

A sensitive and selective procedure was developed for the spectrophotometric determination of silver by its catalytic effect on the oxidation of gallocyanine by peroxydisulphate in acidic media at 540 nm. Silver can be determined in the range of 0.001-0.500 µg/ml with a limit of detection of 0.0005 µg/ml, by a fixed-time method of 4.0 min from initiation of the reaction, The relative standa...

Face recognition systems detect faces in moving or still images and then recognize them. However, face detection is not an error-free process, especially when designed for real-time systems. Thus the face recognition algorithms have to operate on faces that are not ideally framed. In this paper we analyze quantitatively the impact of face detection errors on six different face recognition algor...

The effect of predation on native fish by introduced species in the San Francisco Estuary-Delta (SFE) has not been thoroughly studied despite its potential to impact species abundances. Species-specific quantitative PCR (qPCR) is an accurate method for identifying species from exogenous DNA samples. Quantitative PCR assays can be used for detecting prey in gut contents or faeces, discriminating...

We present a real-time system for face detection, tracking and characterisation from omni-directional video. Viola-Jones is used as a basis for face detection, then various filters are applied to eliminate false positives. Gaps between two detection of a face by the Viola-Jones algorithms are filled using a colour-based tracking. This system reliably detects more than 97% of the faces across se...

An original approach for real time detection of changes in 5 motion is presented, for detecting and recognizing events. Current video 6 change detection focuses on shot changes, based on appearance, not mo7 tion. Changes in motion are detected in pixels that are found to be active, 8 and this motion is input to sequential change detection, which detects 9 changes in real time. Statistical model...

This paper describes a new approach to automatic frontal face detection which employs Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current state-of-the-art systems, while remaining fast enough for being used in real–time systems. It is based on the combination of several paralle...