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.
We developed an automatic method to extract the parameters of the 7 times 50 m Stroke Efficiency Test for swimming based on a wrist worn acceleration sensor device. In the wrist acceleration signal we detect characteristic swim events such as wall push-offs, wall-strikes and strokes. Based on this information we compute the distance per stroke and the swimming velocity. The upper error bounds of our...
We present a method for recognizing individuals from their ldquostyle of actionrdquo. Two forms of human recognition can be useful: the determination that an object is from the class of humans (which is called human detection), and the determination that an object is a particular individual from this class (this is called individual recognition). This paper focuses on the latter problem. A periodicity...
Dimensionality reduction is a necessary preprocessing step in many fields of information processing such as information retrieval, pattern recognition and data compression. Its goal is to discover the representative or the discriminative information residing in raw data. Locally linear embedding (LLE), one of effective manifold learning algorithms, addresses this problem by computing low-dimensional,...
We present an algorithm to automatically extract skeletons for branched volumes by shape decomposition. First, a region growing strategy is adopted based on a distance transformation to decompose a volume into several meaningful components with simple topological structures. Then, the skeleton of each component is individually extracted. Finally, the skeletons of all the components are integrated...
Key frames extraction play an important role in video abstraction. Traditional key frame extraction methods only use color, texture, or shape features to represent a frame, while the motion feature is ignored or inappropriately modeled. Since the motion feature contains a lot of semantic information in video analysis, we propose a compact representation of the dominant motion information for each...
This paper discusses on estimating the behavior of a sperm whale using hydrophones recordings thanks to a set of features extracted from a real-time passive underwater acoustic tracking algorithm for multiple emitting whales. Acoustic localization permits to study whales' behavior in deep water (several hundreds of meters) without infering with the environment. Here, we use a real-time multiple tracking...
We propose a new method for the estimation of fish abundance from both acoustic data and some trawl hauls catches. In this work, we operate at a global level and we aim at estimating fish abundance from these images and not to identify the species of each school. We associate each trawl catch to the nearest acoustic image and we describe each image by a set of global statistical distributions estimated...
We present a method to automatically construct a sign language classifier for a previously unseen sign. The only required input of a new sign is one example, performed by a sign language tutor. The method works by comparing the measurements of the new sign to signs that have been trained on a large number of persons. The parameters of the respective trained classifier models are used to construct...
In graphical documents (map, engineering drawing), artistic documents etc. there exist many printed materials where text lines are not parallel to each other and they are multi-oriented and curve in nature. For the OCR of such documents we need to extract individual text lines from the documents. Extraction of individual text lines from multi-oriented and/or curved text document is a difficult problem...
Requirements for identifying and defining additional fingerprint features beyond minutiae, even not limited to level 3 details, has already been addressed by the community . However, new feature proposals are based on refinements of existing features (e.g. a finer level of classification), or on the introduction of new single features (e.g. 3-D level features such as the ridge height) . The new set...
We present an automated supervised method which assists in the diagnosis of Alzheimerpsilas disease (AD) using fMRI data. The method consists of five stages: a) preprocessing of fMRI data to remove motion and spatial noise artifacts, b) modeling of the data using generalized linear models (GLM), c) feature extraction, d) feature selection and e) classification using majority and weighted voting schemes.
We present a fully automatic approach to learning the personal facial attractiveness preferences of individual users directly from example images. The target application is computer assisted search of partners in online dating services. The proposed approach is based on the use of epsiv-SVMs to learn a regression function that maps low level image features onto attractiveness ratings. We present empirical...
This paper presents a new clustering based strategy for path loss prediction. We demonstrate how data mining technology can be utilized to explore the knowledge existing in massive geographical data thus improving path loss prediction accuracy and reducing field measurement cost. Comparative path loss prediction experiments between new strategy and traditional ones confirm that the new strategy guarantees...
This paper presents a novel people detection and tracking method based on a combined multimodal sensor approach that utilizes 2D and 3D laser range and camera data. Laser data points are clustered and classified with a set of geometrical features using an SVM AdaBoost method. The clusters define a region of interest in the image that is adjusted using the ground plane information extracted from the...
Matching video segments in order to detect their similarity is a necessary task in retrieval and summarization applications. In order to determine nearly identical content, such as repeated takes of the same scene, very precise matching of sequences of features extracted from the video segments needs to be performed. In this paper we compare the performance of three distance measures for the task...
Video key frame extraction is a type of video abstraction, which is one of the key problems in video content indexing and retrieval. Key frame extraction aims at finding a small collection of salient images extracted from a video sequence for visual content summarization. In this paper we propose a video key frame extraction method based on spatial-temporal color distribution. First we construct a...
A new algorithm of Web text clustering mining is presented, which is based on the Discovery Feature Sub-space Model (DFSSM). This algorithm includes the training stage of SOM and the clustering stage, which characterizes self-stability and powerful antinoise ability. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. we have applied the algorithm...
This paper proposes a computational scheme for comparison and color analysis of images by using unsupervised learning algorithms. As a first step, two special growing unsupervised learning algorithms are introduced and used to create the so called compressed information model (CIM) which replaces the original ldquoraw datardquo (the RGB pixels) of the image with a much smaller number of neurons. Then...
For realistic simulation, it is essential to determine the occlusion areas of the virtual object produces after registering real image and virtual object exactly. In this paper, we proposed the new method to solve occlusions using improved object contour extraction by neighboring edge search and MER (minimum enclosing rectangle). We acquire the detailed contour of complex objects by proposed algorithms...
Internet-based Chat environments such as Internet relay Chat and instant messaging pose a challenge for data mining and information retrieval systems due to the multi-threaded, overlapping nature of the dialog and the nonstandard usage of language. In this paper we present preliminary methods of topic detection and topic thread extraction that augment a typical TF-IDF-based vector space model approach...
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.