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Real Time Eye Blinking Detection Using Local Ternary Pattern and SVM

Real Time Eye Blinking Detection Using Local Ternary Pattern...

引用

International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA)

作者： Jong Bin Ryu Hyun S. Yang Yong-Ho Seo AI and Media Lab. Dept. Computer Science Korea Advanced Institute of Science and Technology Daejon Korea Dept. Intelligent Robot Engineering Mokwon University Daejeon Republic of Korea

As smart devices become popular among people, there are many demands for handling these devices. Smart devices are different from desktop and laptop in that the smart devices cannot be used with user interface peripherals such as mouse and keyboard due to the nature of itself, portability. So here is our proposal, eye blinking detection algorithm for interacting with smart devices. This algorithm that we are going to suggest can replace the most important functions of mouse, "clicking". This is possible because "Mouse Clicking" can be easily replaced by "Eye Blinking". We focus on the fast detection algorithm for the real time performance. Current existing studies of eye blinking detection have not concerned about the detection speed while they have quite clear detection accuracy. In this paper, our algorithm is designed to achieve not only the detection accuracy but the rapid speed as well.

关键词： Broadband communication Wireless communication

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Using an affective human-like association architecture for life-logs

Using an affective human-like association architecture for l...

引用

2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012

作者： Machajdik, Jana Kavicky, Lukas Computer Vision Lab. Vienna University of Technology Austria

ISBN: (纸本)9783200023284

Diaries - and now lifelogs - offer ways to store old memories, review them from time to time, and reflect about the past. Self-reflection is a crucial factor in personal growth. However, to make this process effective the data from lifelogs has to be structured in a way that is meaningful for humans. In this paper we presented the design of an affective human-like associations architecture that creates models inspired by the way humans create associations in their unconscious. This is done by interconnecting the multimodal signals collected by lifelogging sensors in a flexible way, using similarity associations and affective links in combination with an adaptation of the spreading activation theory of memory. The approach enables the user to use these affective associations to browse his or her lifelog data in a way that encourages self-reflection by suggesting similar situations. © 2012 Institute of Telecommunica.

关键词： Computation theory

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Word detection applied to images of ancient Roman coins

Word detection applied to images of ancient Roman coins

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2012 18th International Conference on Virtual Systems and Multimedia: Virtual Systems in the Information Society, VSMM 2012

作者： Kavelar, Albert Zambanini, Sebastian Kampel, Martin Computer Vision Lab. Vienna University of Technology Austria

ISBN: (纸本)9781467325653

This paper presents a method for recognizing legends in images of ancient coins. It accounts for the special challenging conditions of ancient coins and thus does not rely on character segmentation contrary to traditional Optical Character Recognition (OCR) methods designed for text written on paper. Instead, characters are detected by means of individual character classifiers applied to a dense grid of local SIFT features. Final word recognition is accomplished using a lexicon of known legend words. For this purpose, the Pictorial Structures approach is adopted to find the most likely word occurrences based on the previously detected characters. Experiments are conducted on a set of 180 coin images from the Roman period with 35 different legend words. Depending on the lexicon size used, the achieved word detection rate varies from 29% to 53%. © 2012 IEEE.

关键词： computer vision

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Efficient Point Feature Tracking based on Self-aware Distance Transform

Efficient Point Feature Tracking based on Self-aware Distanc...

引用

23rd British Machine vision Conference

作者： Park, Min-Gyu Yoon, Kuk-Jin Computer Vision Lab. Gwangju Institute of Science and Technology (GIST) South Korea

ISBN: (纸本)1901725464

In this paper, we propose a Self-aware Distance Transform (SDT) for efficient template-based point feature tracking. The proposed SDT encapsulates the relationship between autocorrelation coefficients and the distance from the best match;therefore, it can be used to automatically determine the size of a search region in each point feature. The proposed SDT returns the expected distance between the predicted position and the best match from a statistical viewpoint, which guarantees a certain level of successful tracking depending on the cross-correlation at the predicted position. If the SDT returns a large expected distance due to the abrupt motion of a feature or inaccurate prediction, we progressively expand the search region on a hexagonal lattice while also using the SDT to reduce unnecessary computations. The performance of the proposed tracking method based on the SDT was verified experimentally in terms of its accuracy, robustness, and computational efficiency by comparing the proposed method to other tracking methods.

关键词： Computational efficiency

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Skew estimation of sparsely inscribed document fragments

Skew estimation of sparsely inscribed document fragments

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10th IAPR International Workshop on Document Analysis Systems, DAS 2012

作者： Diem, Markus Kleber, Florian Sablatnig, Robert Computer Vision Lab. Vienna University of Technology Vienna Austria

ISBN: (纸本)9780769546612

Document analysis is done to analyze entire forms (e.g. intelligent form analysis, table detection) or to describe the layout/structure of a document for further processing. A pre-processing step of document analysis methods is a skew estimation of scanned or photographed documents. Current skew estimation methods require the existence of large text areas, are dependent on the text type and can be limited on a specific angle range. The proposed method is gradient based in combination with a Focused Nearest Neighbor Clustering of interest points and has no limitations regarding the detectable angle range. The upside/down decision is based on statistical analysis of ascenders and descenders. It can be applied to entire documents as well as to document fragments containing only a few words. Results show that the proposed skew estimation is comparable with state-of-the-art methods and outperforms them on a real dataset consisting of 658 snippets. © 2012 IEEE.

关键词： document fragments rotation skew estimation

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Writer retrieval and writer identification using local features

Writer retrieval and writer identification using local featu...

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10th IAPR International Workshop on Document Analysis Systems, DAS 2012

作者： Fiel, Stefan Sablatnig, Robert Computer Vision Lab. Institute of Computer Aided Automation Vienna University of Technology Austria

ISBN: (纸本)9780769546612

Writer identification determines the writer of one document among a number of known writers where at least one sample is known. Writer retrieval searches all documents of one particular writer by creating a ranking of the similarity of the handwriting in a dataset. This paper presents a method for writer retrieval and writer identification using local features and therefore the proposed method is not dependent on a binarization step. First the local features of the image are calculated and with the help of a predefined codebook an occurrence histogram can be created. This histogram is compared to determine the identity of the writer or the similarity of other handwritten documents. The proposed method has been evaluated on two datasets, namely the IAM dataset which contains 650 writers and the Trigraph Slant dataset which contains 47 writers. Experiments have shown that it can keep up with previous writer identification approaches. Regarding writer retrieval it outperforms previous methods. © 2012 IEEE.

关键词： Graphic methods

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Segmentation of building facade domes

Segmentation of building facade domes

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17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, computer vision, and Applications, CIARP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Vienna University of Technology Computer Vision Lab. Austria Vienna University of Technology Pattern Recongition and Image Processing Lab. Austria

ISBN: (纸本)9783642332746

Domes are architectural structural elements typical for ecclesiastical and secular grand buildings, like churches, mosques, palaces, capitols and city halls. The current paper targets the problem of segmentation of domes within the framework of architectural style classification of building facades. We perform segmentation of building facade domes by combining bilateral symmetry detection, graph-based segmentation approaches and image analysis and processing technics into a single method. Our algorithm achieves good segmentation results on buildings belonging to variety of architectural styles, such as Renaissanse, Neo-Renaissance, Baroque, Neo-Baroque, Neoclassical and Islamic. © 2012 Springer-Verlag.

关键词： Domes

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab. Vienna University of Technology Austria

ISBN: (纸本)9783200023284

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate. © 2012 Institute of Telecommunica.

关键词： Classification (of information)

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Multi resolution enhanced orthogonal polynomilas based autocorrelogram for color image retrieval

Multi resolution enhanced orthogonal polynomilas based autoc...

引用

2012 International Conference on Image Processing, computer vision, and Pattern Recognition, IPCV 2012

作者： Krishnamoorthi, R. Sathiya Devi, S. Vision Lab. Department of Computer Science and Engineering Anna University of Technology Thiruchirappalli Tamilnadu India

ISBN: (纸本)9781601322258

This paper proposes a simple color image retrieval method based on multi resolution enhanced orthogonal polynomials model. In the proposed method, a set of orthogonal polynomials has been chosen and the model coefficients are reordered into multiresolution subband like structure. The subband coefficients are quantized into three levels. Then the weighted autocorrelogram is computed from the quantized subbands in R, G and B color space. The obtained weighted autocoorelogram is termed as global color feature vector and are normalized with Z - score normalization. This feature vector is used for retrieving similar images with weighted Manhattan distance metric. The efficiency of the proposed method is experimented on a subset of standard COREL database and the results are compared with existing techniques. The proposed method yields significant retrieval results.

关键词： Image enhancement

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Persistent homology for learning densities with bounded support

Persistent homology for learning densities with bounded supp...

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26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012

作者： Pokorny, Florian T. Ek, Carl Henrik Kjellström, Hedvig Kragic, Danica Computer Vision and Active Perception Lab. KTH Royal Institute of Technology School of Computer Science and Communication Stockholm Sweden

ISBN: (纸本)9781627480031

We present a novel method for learning densities with bounded support which enables us to incorporate 'hard' topological constraints. In particular, we show how emerging techniques from computational algebraic topology and the notion of persistent homology can be combined with kernel-based methods from machine learning for the purpose of density estimation. The proposed formalism facilitates learning of models with bounded support in a principled way, and - by incorporating persistent homology techniques in our approach - we are able to encode algebraic-topological constraints which are not addressed in current state of the art probabilistic models. We study the behaviour of our method on two synthetic examples for various sample sizes and exemplify the benefits of the proposed approach on a real-world dataset by learning a motion model for a race car. We show how to learn a model which respects the underlying topological structure of the racetrack, constraining the trajectories of the car.

关键词： Topology

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