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检索条件"任意字段=2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014"

共 4555 条记录，以下是31-40 订阅

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Fast Target recognition on Mobile Devices: Revisiting Gaussian Elimination for the the Estimation of Planar Homographies

Fast Target Recognition on Mobile Devices: Revisiting Gaussi...

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Bilaniuk, Olexa Bazargani, Hamid Laganiere, Robert Univ Ottawa Sch EECS Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781479943098

This work analyzes the problem of homography estimation for robust target matching in the context of real-time mobile vision. We present a device-friendly implementation of the Gaussian Elimination algorithm and show that our optimized approach can significantly improve the homography estimation step in a hypothesize-and-verify scheme. Experiments are performed on image sequences in which both speed and accuracy are evaluated and compared with conventional homography estimation schemes.

关键词： feature matching homography estimation mobile vision target recognition

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Addressing System-Level Optimization with OpenVX Graphs

Addressing System-Level Optimization with OpenVX Graphs

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Rainey, Erik Villarreal, Jesse Dedeoglu, Goksel Pulli, Kari Lepley, Thierry Brill, Frank Texas Instruments Inc Dallas TX 75265 USA LLC PercepTon Dallas TX 75265 USA NVIDIA Santa Clara CA 95050 USA

ISBN: (纸本)9781479943098

During the performance optimization of a computer vision system, developers frequently run into platform-level inefficiencies and bottlenecks that can not be addressed by traditional methods. OpenVX is designed to address such system-level issues by means of a graph-based computation model. This approach differs from the traditional acceleration of one-off functions, and exposes optimization possibilities that might not be available or obvious with traditional computer vision libraries such as OpenCV.

关键词： OpenVX computer vision embedded systems embedded vision mobile vision optimization performance optimization

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A Stream Algebra for computer vision Pipelines

A Stream Algebra for Computer Vision Pipelines

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Helala, Mohamed A. Pu, Ken Q. Qureshi, Faisal Z. Univ Ontario Inst Technol Fac Sci Oshawa ON Canada

ISBN: (纸本)9781479943098

Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images and video streams. Online vision algorithms for managing, processing and analyzing these streams need to rely upon streaming concepts, such as pipelines, to ensure timely and incremental processing of data. This paper is a first attempt at defining a formal stream algebra that provides a mathematical description of vision pipelines and describes the distributed manipulation of image and video streams. We also show how our algebra can effectively describe the vision pipelines of two state of the art techniques.

关键词： Image and Video Streams Stream Algebra computer vision Pipelines Stream Operators

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Human interaction recognition based on the co-occurrence of visual words

Human interaction recognition based on the co-occurrence of ...

引用

2014 ieee conference on computer vision and pattern recognition workshops, cvprw 2014

作者： Slimani, Khadidja Nour El Houda Benezeth, Yannick Souami, Feriel USTHB LRIA Laboratory BP 32 El Alia Bab Ezzouar Algiers16111 Algeria Université de Bourgogne LE2I UMR CNRS 6306 Dijon cedex21000 France

ISBN: (纸本)9781479943098

This paper describes a novel methodology for automated recognition of high-level activities. A key aspect of our framework relies on the concept of co-occurring visual words for describing interactions between several persons. Motivated by the numerous success of human activity recognition methods using bag-of-words, this paradigm is extended. A 3-D XYT spatiooral volume is generated for each interacting person and a set of visual words is extracted to represent his activity. The interaction is then represented by the frequency of co-occurring visual words between persons. For our experiments, we used the UT-interaction dataset which contains several complex human-human interactions. © 2014 ieee.

关键词： pattern recognition

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Superpixel Estimation for Hyperspectral Imagery

Superpixel Estimation for Hyperspectral Imagery

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Massoudifar, Pegah Rangarajan, Anand Gader, Paul Univ Florida Dept CISE Gainesville FL 32611 USA

ISBN: (纸本)9781479943098

In the past decade, there has been a growing need for machine learning and computer vision components (segmentation, classification) in the hyperspectral imaging domain. Due to the complexity and size of hyperspectral imagery and the enormous number of wavelength channels, the need for combining compact representations with image segmentation and superpixel estimation has emerged in this area. Here, we present an approach to superpixel estimation in hyperspectral images by adapting the well known UCM approach to hyperspectral volumes. This approach benefits from the channel information at each pixel of the hyperspectral image while obtaining a compact representation of the hyperspectral volume using principal component analysis. Our experimental evaluation demonstrates that the additional information of spectral channels will substantially improve superpixel estimation from a single "monochromatic" channel. Furthermore, superpixel estimation performed on the compact hyperspectral representation outperforms the same when executed on the entire volume.

关键词： hyperspectral imagery information channels image segmentation Compact Compact pattern pixel extra message principal components analysis wavelengths

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FPGA-based fast response image analysis for autonomous or semi-autonomous indoor flight

FPGA-based fast response image analysis for autonomous or se...

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Ladig, Robert Shimonomura, Kazuhiro Ritsumeikan Univ Dept Robot Kusatsu Shiga 5258577 Japan

ISBN: (纸本)9781479943098

Small aerial vehicles, like quadrotor, have a high potential to be helpful tools in first response scenarios like earthquakes, landslides and fires. But even simple tasks like holding position and altitude can be challenging to accomplish by a human operator and even more challenging autonomously. When outdoors, using GPS and pressure sensors is feasible, but indoors or in GPS denied environments it is not. Until now, for indoor flight scenarios either a lot of energy consuming sensors and hardware or a perfectly defined surrounding is required. In this approach, the viability of an onboard FPGA based indoor flight navigation system with a pan-tilt camera mount and a single VGA camera is tested. It can be used to either support an operator performing a hold position and altitude task, or act completely autonomously to achieve this task.

关键词： Aerial robotics FPGA Monocular vision Onboard vision Quadrotor Monocular vision Field programmable gate arrays flight Global Positioning Systems Pressure Sensor Device Component FAST-RESPONSE INDOORS Outdoors

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vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis

Vision on Wheels: Looking at Driver, Vehicle, and Surround f...

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Ohn-Bar, Eshed Tawari, Ashish Martin, Sujitha Trivedi, Mohan M. Univ Calif San Diego Comp Vis & Robot Res Lab San Diego CA 92103 USA

ISBN: (纸本)9781479943098

Automotive systems provide a unique opportunity for mobile vision technologies to improve road safety by understanding and monitoring the driver. In this work, we propose a real-time framework for early detection of driver maneuvers. The implications of this study would allow for better behavior prediction, and therefore the development of more efficient advanced driver assistance and warning systems. Cues are extracted from an array of sensors observing the driver (head, hand, and foot), the environment (lane and surrounding vehicles), and the ego-vehicle state (speed, steering angle, etc.). Evaluation is performed on a real-world dataset with overtaking maneuvers, showing promising results. In order to gain better insight into the processes that characterize driver behavior, temporally discriminative cues are studied and visualized.

关键词： active safety driver assistance systems mobile vision applications real-time behavior analysis temporal action recognition

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From Ego to Nos-vision: Detecting Social Relationships in First-Person Views

From Ego to Nos-vision: Detecting Social Relationships in Fi...

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Alletto, Stefano Serra, Giuseppe Calderara, Simone Solera, Francesco Cucchiara, Rita Univ Modena & Reggio Emilia I-41125 Modena Italy

ISBN: (纸本)9781479943098

In this paper we present a novel approach to detect groups in ego-vision scenarios. People in the scene are tracked through the video sequence and their head pose and 3D location are estimated. Based on the concept of f-formation, we define with the orientation and distance an inherently social pairwise feature that describes the affinity of a pair of people in the scene. We apply a correlation clustering algorithm that merges pairs of people into socially related groups. Due to the very shifting nature of social interactions and the different meanings that orientations and distances can assume in different contexts, we learn the weight vector of the correlation clustering using Structural SVMs. We extensively test our approach on two publicly available datasets showing encouraging results when detecting groups from first-person camera views.

关键词： Ego-vision f-formation social interaction

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Real-time Mobile Facial Expression recognition System - A Case Study

Real-time Mobile Facial Expression Recognition System - A Ca...

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Suk, Myunghoon Prabhakaran, Balakrishnan Univ Texas Dallas Dept Comp Engn Richardson TX 75080 USA

ISBN: (纸本)9781479943098

This paper presents a mobile application for real time facial expression recognition running on a smart phone with a camera. The proposed system uses a set of Support Vector Machines (SVMs) for classifying 6 basic emotions and neutral expression along with checking mouth status. The facial expression features for emotion recognition are extracted by Active Shape Model (ASM) fitting landmarks on a face and then dynamic features are generated by the displacement between neutral and expression features. We show experimental results with 86% of accuracy with 10 folds cross validation in 309 video samples of the extended Cohn-Kanade (CK+) dataset. Using the same SVM models, the mobile app is running on Samsung Galaxy S3 with 2.4 fps. The accuracy of real-time mobile emotion recognition is about 72% for 6 posed basic emotions and neutral expression by 7 subjects who are not professional actors.

关键词： active shape model emotion recognition facial expression recognition mobile vision support vector machine

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CDnet 2014: An Expanded Change Detection Benchmark Dataset

CDnet 2014: An Expanded Change Detection Benchmark Dataset

引用

27th ieee conference on computer vision and pattern recognition (CVPR)

作者： Wang, Yi Jodoin, Pierre-Marc Porikli, Fatih Konrad, Janusz Benezeth, Yannick Ishwar, Prakash Univ Sherbrooke CREI Sherbrooke PQ J1K 2R1 Canada Australian Natl Univ NICTA Canberra ACT 2601 Australia Univ Bourgogne Le2i F-21078 Dijon France Boston Univ Dept ECE Boston MA 02215 USA

ISBN: (纸本)9781479943098

Change detection is one of the most important low-level tasks in video analytics. In 2012, we introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the evalaution of change and motion detection approaches. Here, we present the latest release of the CDnet dataset, which includes 22 additional videos (similar to 70,000 pixel-wise annotated frames) spanning 5 new categories that incorporate challenges encountered in many surveillance settings. We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the ieee Change Detection Workshop 2014. We highlight strengths and weaknesses of these methods and identify remaining issues in change detection.

关键词： Change detection

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