background and objectives:hbv and htlv-i are life threatening infectious agents in patients who receive blood and blood products. although serological methods have been proved to be useful, detection of these viruses has remained a challengingissue due to the many obstacles. by the advent of nucleic acid testing methods, especially in multiplex format, more precise detection is possible.the obj...

introduction: the protozoan parasite, cryptosporidium spp., widely spreads in both raw and drinking waters. it is the causative agents of waterborne diarrhea and gastroenteritis in the world. in the present study, a molecular assay was used for the detection and quantification of cryptosporidium oocysts in environmental water samples. materials and methods: thirty surface water samples were col...

we propose a novel approach for detecting precursors to epileptic seizures in intracranial electroencephalograms (ieeg), which is based on the analysis of system dynamics. in the proposed scheme, the largest lyapunov exponent of the discrete wavelet packet transform (dwpt) of the segmented eeg signals is considered as the discriminating features. such features are processed by a support vector ...

This paper presents an algorithm for the detection and tracking of moving objects based on color and texture analysis for real time processing. Our goal is to study human interaction by tracking people and objects. The object detection algorithm is based on color histograms and iteratively divided interest regions for motion detection. The tracking algorithm is based on correlograms which combi...

Salient object detection has gradually become a popular topic in robotics and computer vision research. This paper presents a real-time system that detects salient object by integrating objectness, foreground and compactness measures. Our algorithm consists of four basic steps. First, our method generates the objectness map via object proposals. Based on the objectness map, we estimate the back...

This paper describes a method for recognizing real three-dimensional objects in non-controlled backgrounds using independent component analysis to eliminate redundant image information present in each object image. The proposed method is a two-step process that allows a coarse color-based detection and an exact localization using shape information. The paper describes an efficient implementatio...

Edge linking is an important task in a boundary extraction problem. In this paper, a fuzzy approach is proposed. The proposed system consists of a fuzzy edge detection module and a fuzzy edge linking module, respectively. The fuzzy edge detector gives a fuzzy membership matrix and an initial edge map. Once the initial edge map is obtained, the pairing of the start and end points of the edges as...

A real-time system for the detection and tracking of moving objects that becomes stationary in a restricted zone. A new pixel classification method based on the Segmentation History Image (SHI) is used to identify stationary objects in the scene. These objects are then tracked using a novel adaptive edge orientation based tracking method. Experimental results have shown that the tracking techni...

We show that the simultaneous estimation of keypoint identities and poses is more reliable than the two separate steps undertaken by previous approaches. A simple linear classifier coupled with linear predictors trained during a learning phase appears to be sufficient for this task. The retrieved poses are subpixel accurate due to the linear predictors. We demonstrate the advantages of our appr...

This paper presents a novel texture boundary detector called the standard deviation ridge detector. At 43.29 frames per second, it is one of the few texture boundary detectors that can run in realtime. With its Berkeley segmentation benchmark F-statistic of 0.62, the algorithm outperforms all existing realtime texture boundary detectors. The use of the boundary detector would induce noticable i...