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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"

共 4491 条记录，以下是51-60 订阅

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Overhead-based image and video geo-localization framework

Overhead-based image and video geo-localization framework

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Hammoud, Riad I. Kuzdeba, Scott A. Berard, Brian Tom, Victor Ivey, Richard Bostwick, Renu HandUber, Jason Vinciguerra, Lori Shnidman, Nathan Smiley, Byron BAE Syst Burlington MA 01803 USA

ISBN: (纸本)9780769549903

This paper presents a geo-localization framework of street-level outdoor images using multiple sources of overhead reference imagery including LIDAR, Digital Elevation Maps and Multi-Spectral Land Cover/Use imagery. We describe five different matchers and an adaptive linear fusion process which combines individual matchers' probability maps into a single map. These matchers exploit mountain elevation profiles, rendered camera views, landmarks, landuse classes and building heights. We successfully validated our framework on 100 queries with geographic truth in two world regions (each of 10, 000km(2)) in the USA.

关键词： digital elevation models geographic information systems geophysical image processing optical radar probability rendering (computer graphics) terrain mapping video signal processing

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An Embedded vision Services Framework for Heterogeneous Accelerators

An Embedded Vision Services Framework for Heterogeneous Acce...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Gudis, Eduardo Lu, Pullan Berends, David Kaighn, Kevin van der Wal, Gooitzen Buchanan, Gregory Chai, Sek Piacentino, Michael SRI Int Princeton NJ 08543 USA

ISBN: (纸本)9780769549903

This paper describes an architecture framework using heterogeneous hardware accelerators for embedded vision applications. This approach leverages the recent single-chip heterogeneous FPGAs that combine powerful multicore processors with extensive programmable gate array fabric on the same die. We present a framework using an extensive library of pipelined real time vision hardware accelerators and a service-based software architecture. This field-proven system design approach provides embedded vision developers with a powerful software abstraction layer for rapidly and efficiently integrating any of hardware accelerators for applications such as image stabilization, moving target indication, contrast normalization enhancement, and others. The framework allows the service-based software to take advantage of the hardware acceleration blocks available and perform the remainder of the processing in software. As performance requirements increase, more hardware acceleration can be added to the FPGA fabric, thus offloading the main processor.

关键词： computer vision field programmable gate arrays programmable circuits software architecture

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Ground Truth For Pedestrian Analysis and Application to Camera Calibration

Ground Truth For Pedestrian Analysis and Application to Came...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Creusot, Clement Courty, Nicolas Toshiba R&D Ctr Kawasaki Kanagawa Japan UBS IRISA Vannes France

ISBN: (纸本)9780769549903

This paper investigates the use of synthetic 3D scenes to generate ground truth of pedestrian segmentation in 2D crowd video data. Manual segmentation of objects in videos is indeed one of the most time-consuming type of assisted labeling. A big gap in computer vision research can not be filled due to this lack of temporally dense and precise segmentation ground truth on large video samples. Such data is indeed essential to introduce machine learning techniques for automatic pedestrian segmentation, as well as many other applications involving occluded people. We present a new dataset of 1.8 million pedestrian silhouettes presenting human-to-human occlusion patterns likely to be seen in real crowd video data. To our knowledge, it is the first publicly available large dataset of pedestrian in crowd silhouettes. Solutions to generate and represent this data are detailed. We discuss ideas of how this ground truth can be used for a large number of computer vision applications and demonstrate it on a camera calibration toy problem.

关键词： calibration cameras computer vision image segmentation learning (artificial intelligence) video signal processing

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"You're it!": Role Identification using Pairwise Interactions in Tag Games

"You're it!": Role Identification using Pairwise Interaction...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Moreno, Alejandro Poppe, Ronald Univ Twente NL-7500 AE Enschede Netherlands

ISBN: (纸本)9780769549903

We aim at designing interactive playgrounds that automatically analyze the behavior of children while playing games, in order to adapt the gameplay and make the games more engaging. In this paper, we focus on recognizing roles in tag games, where children are taggers or runners. We start by tracking the location and motion of individual players, and subsequently recognize pairwise interactions: approach, chase and avoid. At each moment in time, we inspect the full set of pairwise interactions to determine the role of each player. Our approach is fully probabilistic, deals with any number of players and can easily be extended to include other interactions and roles. We evaluate our algorithm using simulations, which show promising results. We intend to extend our framework to recognize variants of the tag game, and to address actual play interactions.

关键词： behavioural sciences computer games interactive systems object recognition object tracking probability

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2013 ieee conference on computer vision and pattern recognition workshops, cvprw 2013

作者： Ohn-Bar, Eshed Trivedi, Mohan M. Computer Vision and Robotics Research Lab University of California San Diego CA 92093-0434 United States

ISBN: (纸本)9780769549903

We propose a set of features derived from skeleton tracking of the human body and depth maps for the purpose of action recognition. The descriptors proposed are easy to implement, produce relatively small-sized feature sets, and the multi-class classification scheme is fast and suitable for real-time applications. We intuitively characterize actions using pairwise affinities between view-invariant joint angles features over the performance of an action. Additionally, a new descriptor for spatio-temporal feature extraction from color and depth images is introduced. This descriptor involves an application of a modified histogram of oriented gradients (HOG) algorithm. The application produces a feature set at every frame, and these features are collected into a 2D array which then the same algorithm is applied to again (the approach is termed HOG2). Both feature sets are evaluated in a bag-of-words scheme using a linear SVM, showing state-of-the-art results on public datasets from different domains of human-computer interaction. © 2013 ieee.

关键词： Human computer interaction

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Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers

Adapting a Pedestrian Detector by Boosting LDA Exemplar Clas...

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26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Xu, Jiaolong Vazquez, David Ramos, Sebastian Lopez, Antonio M. Ponsa, Daniel Autonomous Univ Barcelona Comp Vis Ctr E-08193 Barcelona Spain

ISBN: (纸本)9780769549903

Training vision-based pedestrian detectors using synthetic datasets (virtual world) is a useful technique to collect automatically the training examples with their pixel-wise ground truth. However, as it is often the case, these detectors must operate in real-world images, experiencing a significant drop of their performance. In fact, this effect also occurs among different real-world datasets, i.e. detectors' accuracy drops when the training data (source domain) and the application scenario (target domain) have inherent differences. Therefore, in order to avoid this problem, it is required to adapt the detector trained with synthetic data to operate in the real-world scenario. In this paper, we propose a domain adaptation approach based on boosting LDA exemplar classifiers from both virtual and real worlds. We evaluate our proposal on multiple real-world pedestrian detection datasets. The results show that our method can efficiently adapt the exemplar classifiers from virtual to real world, avoiding drops in average precision over the 15%.

关键词： computer vision object detection pedestrians statistical analysis

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Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations

Cardiff Conversation Database (CCDb): A Database of Natural ...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Aubrey, Andrew J. Marshall, David Rosin, Paul L. Vandeventer, Jason Cunningham, Douglas W. Wallraven, Christian Cardiff Univ Sch Comp Sci Cardiff CF10 3AX S Glam Wales Brandenburg Tech Univ Cottbus Cottbus Germany Korea Univ Seoul South Korea

ISBN: (纸本)9780769549903

We present the Cardiff Conversation Database (CCDb), a unique 2D audiovisual database containing natural conversations between pairs of people. The database currently contains 30 conversations. To date, eight conversations are fully annotated for speaker activity, facial expressions, head motion, and non-verbal utterances. In this paper we describe the data collection and annotation process. We also provide results of baseline experiments in which an SVM classifier was used to identify which parts of the recordings are from the frontchannel speaker and which are backchannel signals. We believe this database will make a useful contribution to computer vision, affective computing, and cognitive science communities by providing raw data, features, annotations and baseline comparisons.

关键词： audio databases pattern classification support vector machines visual databases

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Computationally Efficient Face Spoofing Detection with Motion Magnification

Computationally Efficient Face Spoofing Detection with Motio...

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26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Bharadwaj, Samarth Dhamecha, Tejas I. Vatsa, Mayank Singh, Richa IIIT Delhi Delhi India

ISBN: (纸本)9780769549903

For a robust face biometric system, a reliable anti-spoofing approach must be deployed to circumvent the print and replay attacks. Several techniques have been proposed to counter face spoofing, however a robust solution that is computationally efficient is still unavailable. This paper presents a new approach for spoofing detection in face videos using motion magnification. Eulerian motion magnification approach is used to enhance the facial expressions commonly exhibited by subjects in a captured video. Next, two types of feature extraction algorithms are proposed: (i) a configuration of LBP that provides improved performance compared to other computationally expensive texture based approaches and (ii) motion estimation approach using HOOF descriptor. On the Print Attack and Replay Attack spoofing datasets, the proposed framework improves the state-of-art performance;especially HOOF descriptor yielding a near perfect half total error rate of 0% and 1.25% respectively.

关键词： biometrics (access control) computer crime face recognition feature extraction image enhancement image texture motion estimation video databases video signal processing

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X-ray Testing by computer vision

X-ray Testing by Computer Vision

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Mery, Domingo Pontificia Univ Catolica Chile Dept Comp Sci Santiago Chile

ISBN: (纸本)9780769549903

X-ray imaging has been developed not only for its use in medical imaging for human beings, but also for materials or objects, where the aim is to analyze -nondestructively-those inner parts that are undetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are analysis of food products, screening of baggage, inspection of automotive parts, and quality control of welds. In order to achieve efficient and effective X-ray testing, automated and semi-automated systems are being developed to execute this task. In this paper, we present a general overview of computer vision methodologies that have been used in X-ray testing. In addition, we review some techniques that have been applied in certain relevant applications;and we introduce a public database of X-ray images that can be used for testing and evaluation of image analysis and computer vision algorithms. Finally, we conclude that the following: that there are some areas -like casting inspection-where automated systems are very effective, and other application areas -such as baggage screening-where human inspection is still used;there are certain application areas -like weld and cargo inspections-where the process is semi-automatic;and there is some research in areas including food analysis-where processes are beginning to be characterized by the use of X-ray imaging.

关键词： X-ray imaging casting computer vision computerised instrumentation inspection

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Efficient GPU-based Graph Cuts for Stereo Matching

Efficient GPU-based Graph Cuts for Stereo Matching

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Choi, Young-kyu Park, In Kyu Univ Calif Los Angeles Dept Comp Sci Los Angeles CA 90024 USA Inha Univ Sch Informat & Commun Engn Incheon South Korea

ISBN: (纸本)9780769549903

Although graph cuts (GC) is popularly used in many computer vision problems, slow execution time due to its high complexity hinders wide usage. Manycore solution using Graphics Processing Unit (GPU) may solve this problem. However, conventional GC implementation does not fully exploit GPU's computing power. To address this issue, a new GC algorithm which is suitable for GPU environment is presented in this paper. First, we present a novel graph construction method that accelerates the convergence speed of GC. Next, a repetitive block-based push and relabel method is used to increase the data transfer efficiency. Finally, we propose a low-overhead global relabeling algorithm to increase the GPU occupancy ratio. The experiments on Middlebury stereo dataset shows that 5.2X speedup can be achieved over the baseline implementation, with identical GPU platform and parameters.

关键词： computer vision graph theory graphics processing units image matching stereo image processing

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