The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
For the problem of soil moisture prediction, existing approaches in literature [M. Kashif et al., 2006; Y. Shao et al., 1997] usually utilize as many decision factors as possible, e.g. rainfall, solar irradiance, drainage, etc. However, the redundancy aspect of the decision factors has not been studied rigorously. Previous research work in data mining has shown that removing redundant features improves...
Traffic density and flow are important inputs for an intelligent transport system (ITS) to better manage traffic congestion. Presently, this is obtained through loop detectors (LD), traffic radars and surveillance cameras. However, installing loop detectors and traffic radars tends to be difficult and costly. Currently, a more popular way of circumventing this is to develop a sort of virtual loop...
Morphometry of human magnetic resonance images (MRI) is the process of measuring structural variations that occur in the brain. Morphometrics provide a mechanism to monitor and relate structural changes of anatomy to the onset or progression of a disease. It is therefor a very important area of research, specifically since MRI sequences are non-invasive and can be acquired in-vivo. This paper addresses...
The track-before-detect processing technique has been employed in numerous computer vision based algorithms to address the dim target detection problem. In this processing approach, target information (as often provided by an image processing stage that has emphasised target features or suppressed unwanted noise) is integrated over a period of time before the detection decision is made. In this paper,...
Segmentation of the chessboard grid is a crucial step in coordinate extraction for chess video annotation, content-based indexing of chess videos and for content analysis in prototyping vision systems such as a chess robot. This paper deals with the segmentation of grid elements from a populated chessboard taken at a lower angle view. The proposed approach couples the line-based grid detection method...
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorithms usually provide better results, but are typically too slow for widespread use. Here, we examine the architecture of the GPU and describe how a multimodal background subtraction algorithm can be implemented on graphics...
This paper presents a novel approach for cartoon motion capture and retargeting. Unlike known approaches this method does not rely on finding corresponding points on shape contours. We assume movements have two components, rigid motions and non-rigid deformations. We capture rigid motions by using a similarity transforms. Non-rigid deformations are encoded by the Fourier transform and a key-shape...
This paper presents an adaptive learning method for real-time driver eye detection, which could be used for monitoring a driverpsilas vigilance level while he/she is operating a vehicle on road. To adapt to the variances in the eye shape and size of different individuals, a learning mode is introduced at the early stage of eye positioning to build the sample learning library. Face detection is firstly...
This paper describes a prototype system for performing handover between cameras with non-overlapping views. The design is being used to identify problems that may arise in the development of a larger, more capable, and fully automatic system. If there is no information about the spatio-temporal relationship between cameras to assist in matching individuals, similarities in appearance may be used....
To analyze the nuclei distributed in the glomeruli of the renal biopsy images automatically, the problem of missing or wrong extraction of them caused by the complex characteristics of the renal biopsy images must be solved. This paper introduces a dynamic thresholding method using eigenvalue feedback strategy based on multi-channel information. Firstly, the nonlinear thresholding surface adjusted...
Semi-automatic segmentation of still images has vast and varied practical applications. Recently, an approach "GrabCut" has managed to successfully build upon earlier approaches based on colour and gradient information in order to address the problem of efficient extraction of a foreground object in a complex environment. In this paper, we extend the GrabCut algorithm further by applying...
Image registration method by using corner and edge contents is proposed. In this method, the algorithm runs as a coarse-to-fine strategy to find a precise alignment between images in a rigid planar motion. In a coarse stage, landmarks in both images are detected by Harris corner detection. Rough alignment is geometrically found by matching a group of corners, instead of one-on-one, across two images...
Nowadays an increasing research interest in the field of biotechnology has been drawn to achieve reliable information from model organisms. C. Elegans nematode worm is one of the major animals. Machine vision analysis of this animal needs to solve many important problems, e.g. detection of each individual in population images, movement patterns of isolated and overlapped worms and so on. In this paper,...
The length of scan time is a critical issue in Magnetic Resonance Imaging(MRI). Parallel MRI techniques have recently been introduced to shorten the scanning time by using multiple receiver coils to acquire the MR signal. As a result, the imaging process is accelerated several times compared to conventional non-accelerated MRI. In this paper, we provide a new reconstruction method for parallel MRI...
Automatic classification of lung tissue patterns in high resolution computed tomography images of patients with interstitial lung diseases is an important stage in the construction of a computer-aided diagnosis system. To this end, a novel approach is proposed using two sets of overcomplete wavelet filters, namely discrete wavelet frames (DWF) and rotated wavelet frames (RWF), to extract the features...
A global representation of polyp and non polyp shapes are constructed following a point distribution model (PDM) as an alternative to current methods which only inspect local shape characteristics at a point on the surface. The decision on whether or not a candidate lesion is a polyp can then be made by comparing the minimum Euclidean distance of the candidate lesion to the constructed mean shapes...
Moving object segmentation using Improved Running Gaussian Average Background Model (IRGABM) is proposed in this paper. Background subtraction for a relatively static background is a popular method for moving object segmentation in image sequences. However, there are some problems for the background subtraction method, such as the varying luminance effect, the background updating problem, and the...
In this paper, we present a texture descriptor which hinges in the use of the local image statistics so as to recover a compact representation of the texture under study. To this end, here, we make use of stable distributions and their link to Fourier analysis so as to provide a means to compute in a computationally efficient manner a local texture descriptor. This link between stochastic processes...
Searching for humans lost in vast stretches of ocean has always been a difficult task. In this paper, a range of machine vision approaches are investigated as candidate tools to mitigate the risk of human fatigue and complacency after long hours performing these kind of search tasks. Our two-phased approach utilises point target detection followed by temporal tracking of these targets. Four different...
Flood extent mapping is a basic tool for flood damage assessment, which can be done by digital classification techniques using satellite imageries, including the data recorded by radar and optical sensors. However, converting the data into the information we need is not a straightforward task. One of the great challenges involved in the data interpretation is to separate the permanent water bodies...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.