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Probabilistic modeling of local appearance and spatial relationships for object recognition

Probabilistic modeling of local appearance and spatial relat...

引用

1998 ieee computer-society conference on computer vision and pattern recognition

作者： Schneiderman, H Kanade, T Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)0818684976

In this paper, we describe an algorithm for object recognition that explicitly models and estimates the posterior probability function, P(object/image). We have chosen a functional form of the posterior probability function that captures the joint statistics of local appearance and position on the object as well as the statistics of local appearance in the visual world at large. We use a discrete representation of local appearance consisting of approximately 10(6) patterns. We compute an estimate of P(object/image) in closed form by counting the frequency of occurrence of these patterns over various sets of training images. We have used this method for detecting human faces front frontal and profile views. The algorithm for frontal views has shown a detection rate of 93.0%,vith 88 false alarms on a set of 125 images containing 483 faces combining the MIT test set of Sung and Poggio with the CMU lest sets of Rowley, Baluja, and Kanade. The algorithm for detection of profile views has also demonstrated promising results.

关键词： Object recognition

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As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States recognition

As Seen on TV: Automatic Basketball Video Production using G...

引用

ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Quiroga, Julian Carrillo, Henry Maldonado, Edisson Ruiz, John Zapata, Luis M. Genius Sports Comp Vis Medellin Colombia

ISBN: (数字)9781728193601

ISBN: (纸本)9781728193601

Automatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a single fixed 4K camera. The system automatically detects and localizes players, ball and referees, to recognize main action coordinates and game states yielding to a professional cameraman-like production of the basketball event. We also release a fully annotated dataset consisting of single 4K camera and twelve-camera videos of basketball games.

关键词： Cameras Games Production Streaming media Robot vision systems Computational modeling

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Spatial priors for part-based recognition using statistical models

Spatial priors for part-based recognition using statistical ...

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conference on computer vision and pattern recognition

作者： Crandall, D Felzenszwalb, P Huttenlocher, D Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)0769523722

We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These models provide a way of relating different spatial priors that have been used for recognizing generic classes of objects, including joint Gaussian models and tree-structured models. By providing explicit control over the degree of spatial structure, our models make it possible to study the extent to which additional spatial constraints among parts are actually helpful in detection and localization, and to consider the tradeoff in representational power and computational cost. We consider these questions for object classes that have substantial geometric structure, such as airplanes, faces and motorbikes, using datasets employed by other researchers to facilitate evaluation. We find that for these classes of objects, a relatively small amount of spatial structure in the model can provide statistically indistinguishable recognition performance from more powerful models, and at a substantially lower computational cost.

关键词： pattern recognition

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Event-based spacecraft landing using time-to-contact

Event-based spacecraft landing using time-to-contact

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ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Sikorski, Olaf Izzo, Dario Meoni, Gabriele European Space Technol Ctr Adv Concepts Team Keplerlaan 1 NL-2201 AZ Noordwijk Netherlands

ISBN: (纸本)9781665448994

We study event-based sensors in the context of spacecraft guidance and control during a descent on Moon-like terrains. For this purpose, we develop a simulator reproducing the event-based camera outputs when exposed to synthetic images of a space environment. We find that it is possible to reconstruct, in this context, the divergence of optical flow vectors (and therefore the time to contact) and use it in a simple control feedback scheme during simulated descents. The results obtained are very encouraging, albeit insufficient to meet the stringent safety constraints and modelling accuracy imposed upon space missions. We thus conclude by discussing future work aimed at addressing these limitations.

关键词： Space vehicles computer vision Space missions conferences Computational modeling Sensors Safety

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Appearance-guided particle filtering for articulated hand tracking

Appearance-guided particle filtering for articulated hand tr...

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2005 ieee computer society conference on computer vision and pattern recognition, cvpr 2005

作者： Chang, Wen-Yan Chen, Chu-Song Hung, Yi-Ping Institute of Information Science Academia Sinica Taipei Taiwan Dept. of Computer Science and Information Engineering National Taiwan University Taiwan

ISBN: (纸本)769523722

We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance information. A probability propagation model is derived from a Bayesian formulation for this framework, and a sequential Monte Carlo method is introduced for its realization. We apply the proposed method to articulated hand tracking, and show that it performs better than methods that only use either sequential motion transition information or only use appearance information. © 2005 ieee.

关键词： computer vision

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Universal Guidance for Diffusion Models

Universal Guidance for Diffusion Models

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ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Bansal, Arpit Chu, Hong-Min Schwarzschild, Avi Sengupta, Soumyadip Goldblum, Micah Geiping, Jonas Goldstein, Tom Univ Maryland College Pk MD 20742 USA Univ North Carolina Chapel Hill Chapel Hill NC USA NYU New York NY USA

ISBN: (纸本)9798350302493

Typical diffusion models are trained to accept a particular form of conditioning, most commonly text, and cannot be conditioned on other modalities without retraining. In this work, we propose a universal guidance algorithm that enables diffusion models to be controlled by arbitrary guidance modalities without the need to retrain any use-specific components. We show that our algorithm successfully generates quality images with guidance functions including segmentation, face recognition, object detection, and classifier signals. Code is available at ***/arpitbansal297/UniversalGuided-Diffusion.

关键词： Face recognition

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SCVRL: Shuffled Contrastive Video Representation Learning

SCVRL: Shuffled Contrastive Video Representation Learning

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ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Dorkenwald, Michael Xiao, Fanyi Brattoli, Biagio Tighe, Joseph Modolo, Davide Heidelberg Univ Heidelberg Germany AWS AI Labs Palo Alto CA USA AWS Palo Alto CA USA

ISBN: (数字)9781665487399

ISBN: (纸本)9781665487399

We propose SCVRL, a novel contrastive-based framework for self-supervised learning for videos. Differently from previous contrast learning based methods that mostly focus on learning visual semantics (e.g., CVRL), SCVRL is capable of learning both semantic and motion patterns. For that, we reformulate the popular shuffling pretext task within a modern contrastive learning paradigm. We show that our transformer-based network has a natural capacity to learn motion in self-supervised settings and achieves strong performance, outperforming CVRL on four benchmarks.

关键词： Representation learning Visualization Semantics Self-supervised learning Benchmark testing Transformers pattern recognition

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Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions

Recognizing handwritten mathematical expressions via paired ...

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ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Anh Duc Le Ctr Open Data Humanities Tokyo Japan

ISBN: (数字)9781728193601

ISBN: (纸本)9781728193601

recognition of Handwritten Mathematical Expressions (HMEs) is a challenging problem because of the complicated structure and uncommon math symbols contained in HMEs. Moreover, the lack of training data is a serious issue, especially for deep learning-based systems. In this paper, we proposed a dual loss attention model that utilizes the existing latex corpus to improve accuracy. The proposed dual loss attention has two losses, including decoder loss and context matching loss to learn semantic invariant features for the encoder and latex grammar for the decoder from handwritten and printed MEs. The results of experiments on the CROHME 2014 and 2016 databases demonstrate the superiority and effectiveness of our proposed model. These results are competitive compared to others reported in recent literature.

关键词： Training Decoding Feature extraction Handwriting recognition Mathematical model Semantics Grammar

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Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images

Where are my clothes? A multi-level approach for evaluating ...

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ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Jouanneau, Warren Bugeau, Aurelie Palyart, Marc Papadakis, Nicolas Vezard, Laurent Univ Bordeaux LaBRI CNRS Bordeaux INP F-33400 Talence France Lectra F-33610 Cestas France Univ Bordeaux IMB CNRS Bordeaux INPUMR 5251 F-33400 Talence France

ISBN: (纸本)9781665448994

In this paper we present an extensive evaluation of instance segmentation in the context of images containing clothes. We propose a multi level evaluation that completes the classical overlapping criteria given by IoU. In particular, we quantify both the contour and color content accuracy of the the predicted segmentation masks. We demonstrate that the proposed evaluation framework is relevant to obtain meaningful insights on models performance through experiments conducted on five state of the art instance segmentation methods.

关键词： Image segmentation computer vision Image color analysis conferences Computational modeling computer architecture pattern recognition

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Examples of low-level computer vision on media processors

Examples of low-level computer vision on media processors

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2005 ieee computer society conference on computer vision and pattern recognition, cvpr 2005 - Workshops

作者： Kisačanin, Branislav Delphi Corporation

ISBN: (纸本)0769526608

In this paper we describe a practical approach to processor selection for embedded computer vision applications. This approach is based on expected production volumes and other requirements. We then present several popular low-level computer vision techniques that have been algorithmically optimized for implementation on an emerging class of embedded architectures, media processors. © 2005 ieee computer society. All rights reserved.

关键词： computer architecture

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