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2010 16th International Conference on Virtual Systems and Multimedia, VSMM 2010

作者： Garz, Angelika Sablatnig, Robert Vienna University of Technology Computer Vision Lab. 1040 Vienna Austria

ISBN: (纸本)9781424490264

Text recognition in ancient documents poses specific challenges such as degradation and staining, fading out of ink, fluctuating text lines, superimposing of text-elements or varying layouts, amongst others. To cope with those challenges, a texture-based approach is proposed, which exploits the fact that different kinds of textures have distinct orientation distributions. The orientation information is extracted using the Auto-Correlation Function (ACF). The approach is applied to three different manuscripts, namely to Glagolitic manuscripts of the 11th century, a Latin and a composite Latin-German manuscript, both originating from the 14th century. The evaluation is based on manually lab.led ground truth and shows the accuracy of the features chosen even when the method is applied to document pages that are different in writing style and line spacing to those in the training set. ©2010 IEEE.

关键词： Character recognition

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Detecting falls at homes using a network of low-resolution cameras

Detecting falls at homes using a network of low-resolution c...

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10th International Conference on Information technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010

作者： Zambanini, Sebastian MacBajdik, Jana Kampel, Martin Computer Vision Lab. Institute of Computer-Aided Automation Vienna University of Technology A-1040 Vienna Austria

ISBN: (纸本)9781424465606

In a smart home system, a camera-based fall detector at elderly homes leads to immediate alarming and helping. In this paper we propose an approach for the detection of falls based on multiple cameras. Based on semantic driven features, fall detection is done in 3D and fuzzy logic is usedto estimate confidence values for different human postures as well as for the incidence of a faillno fall. Emphasis is given on simplicity, low computational effort and fast processing. Therefore, based on an evaluation on 73 test sequences, we show the applicability of the method for videos with low spatial resolution and frame rate. © 2010 IEEE.

关键词： Fall detection

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Detecting text areas and decorative elements in ancient manuscripts

Detecting text areas and decorative elements in ancient manu...

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International Conference on Frontiers in Handwriting Recognition

作者： Garz, Angelika Diem, Markus Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology 1040 Vienna Austria

ISBN: (纸本)9780769542218

An approach for the detection of decorative elements - such as initials and headlines - and text regions, focused on ancient manuscripts, is presented. Due to their age, ancient manuscripts suffer from degradation and staining as well as ink is faded-out over the time. Identifying decorative elements and text regions allows indexing a manuscript and serves as input for Optical Character Recognition (OCR) as it localizes regions of interest within document pages. We propose a robust method inspired by state-of-the-art object recognition methodologies. Scale Invariant Feature Transform (SIFT) descriptors are chosen to detect the regions of interest, and the scale of the interest points is used for localization. The classification is based on the fact that local properties of the decorative elements are different to those of regular text. The results show that the method is able to locate regular text in ancient manuscripts. The detection rate of decorative elements is not as high as for regular text but already yields to promising results. © 2010 IEEE.

关键词： Optical character recognition

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Inpainting large missing regions in range images

Inpainting large missing regions in range images

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2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Bhavsar, Arnav V. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9780769541099

We propose a technique to inpaint large missing regions in range images. Such a technique can be used to restore degraded/occluded range maps. It can also serve to reconstruct dense depth maps from sparse measurements which can speed up the acquisition. Our method uses the visual cue from segmentation of an intensity image registered to the range image. Our approach enforces that pixels in the same segment should have similar range. Our simple strategy involves plane-fitting and local medians over segments to compute local energies for lab.ling unknown pixels. Our results exhibit high quality inpainting with very low errors. © 2010 IEEE.

关键词： Pixels

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Depth estimation and inpainting with an unconstrained camera

Depth estimation and inpainting with an unconstrained camera

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2010 21st British Machine vision Conference, BMVC 2010

作者： Bhavsar, Arnav V. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)1901725405

Unrestricted camera motion and the ability to operate over a range of lens parameters are often desirable when using an off-the-shelf camera. Variations in intrinsic and extrinsic parameters induce defocus and pixel motion, both of which relate to scene structure. We propose a depth estimation approach by elegantly coupling the motion and defocus cues. We further advocate a natural extension of our framework for inpainting both depth and image, using the motion cue. Unlike traditional inpainting, our approach also considers defocus blur. This ensures that the image inpainting is coherent with respect to defocus. We use the belief propagation method in our estimation approach, which also handles occlusions and uses the color image segmentation cue. © 2010. The copyright of this document resides with its authors.

关键词： Cameras

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Classification of varying length time series using example-specific adapted Gaussian mixture models and support vector machines

Classification of varying length time series using example-s...

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2010 International Conference on Signal Processing and Communications, SPCOM 2010

作者： Chandrakala, S. Chandra Sekhar, C. Speech and Vision Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai 600036 India

ISBN: (纸本)9781424471362

In this paper, we propose a hybrid framework that first uses an adapted Gaussian mixture model based method to represent a varying length sequence of feature vectors as a fixed length pattern and then uses a discriminative model for classification of varying length patterns of long duration. In the conventional GMM-UBM (Gaussian mixture model-Universal background model) based classifier, a UBM is built using feature vectors of all classes. In the proposed approach, a GMM is built for each class using the feature vectors of all the patterns of that class. Then an adapted GMM is built for each example in the training data set using the GMM built for the class to which the example belongs to. The log-likelihood of a pattern for a given example-specific adapted GMM model is used as a score. A similarity based score vector is obtained by applying a pattern to the adapted GMMs of the patterns in the training set. A test pattern is also represented using a score vector. Support vector machine is then used for classification of score vector representation of varying length patterns. Our studies on speech emotion recognition and audio clip classification tasks show that the proposed method gives a significantly improved classification performance compared to the conventional GMM based classifiers. © 2010 IEEE.

关键词： Support vector machines

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Inferring image transformation and structure from motion-blurred images

Inferring image transformation and structure from motion-blu...

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2010 21st British Machine vision Conference, BMVC 2010

作者： Chandramouli, Paramanand Rajagopalan, A.N. Image Processing and Computer Vision Lab. Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)1901725405

This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, we consider a fronto-parallel planar scene and relate the reference image of the scene to its motion-blurred observation by finding the reference image transformations. The blur kernel at every image point can be determined from these transformations. For 3D scenes, the extent of blurring in the image is related to the camera motion as well as the scene structure. We propose a technique to estimate the scene depth with the knowledge of the estimated image transformations. The proposed method is validated by testing on real and synthetic experiments. © 2010. The copyright of this document resides with its authors.

关键词： Cameras

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Research on adaptive strategy for end-hopping system

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Tongxin Xuebao/Journal on Communications 2011年第11 A期32卷 51-57页

作者： Zhao, Chun-Lei Jia, Chun-Fu Weng, Chen Lin, Kai College of Information Technical Science Nankai University Tianjin 300071 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

An adaptive strategy was proposed for EH system. Modules of attack detection, feedback transmission and adaptive control were added to original EH system. They could help to make threats analysis and adjust hopping strategy in real time, so as to reduce the probability of the system stepping into the attackers' target area. With the experiments proving the anti-attack ability of the prototype system, the feasibility and effectiveness of adaptive strategy were demonstrated for EH system.

关键词： Network security

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Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

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作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational Systems, Commonsense Knowledge, Complex Adaptive Systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational Systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

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Task modeling in imitation learning using latent variable models

Task modeling in imitation learning using latent variable mo...

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2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010

作者： Ek, Carl Henrik Song, Dan Huebner, Kai Kragic, Danica KTH - Royal Institute of Technology Stockholm Sweden Computer Vision and Active Perception Lab. Centre for Autonomous Systems Sweden

ISBN: (纸本)9781424486885

An important challenge in robotic research is learning and reasoning about different manipulation tasks from scene observations. In this paper we present a probabilistic model capable of modeling several different types of input sources within the same model. Our model is capable to infer the task using only partial observations. Further, our framework allows the robot, given partial knowledge of the scene, to reason about what information streams to acquire in order to disambiguate the state-space the most. We present results for task classification within and also reason about different features discriminative power for different classes of tasks. ©2010 IEEE.

关键词： Intelligent robots

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