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Improved Cooperative Stereo Matching for Dynamic vision Sensors with Ground Truth Evaluation 30

Improved Cooperative Stereo Matching for Dynamic Vision Sens...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Piatkowska, Ewa Kogler, Juergen Belbachir, Ahmed Nabil Gelautz, Margrit AIT Vienna Austria Vienna Univ Technol Vienna Austria Teknova AS Grimstad Norway

ISBN: (纸本)9781538607336

Event-based vision, as realized by bio-inspired Dynamic vision Sensors (DVS), is gaining more and more popularity due to its advantages of high temporal resolution, wide dynamic range and power efficiency at the same time. Potential applications include surveillance, robotics, and autonomous navigation under uncontrolled environment conditions. In this paper, we deal with event-based vision for 3D reconstruction of dynamic scene content by using two stationary DVS in a stereo configuration. We focus on a cooperative stereo approach and suggest an improvement over a previously published algorithm that reduces the measured mean error by over 50 percent. An available ground truth data set for stereo event data is utilized to analyze the algorithm's sensitivity to parameter variation and for comparison with competing techniques.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Application of computer vision and vector space model for tactical movement classification in badminton 30

Application of computer vision and vector space model for ta...

引用

30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Weeratunga, Kokum Dharmaratne, Anuja How, Khoo Boon Monash Univ Sch Informat Technol Clayton Vic Australia Monash Univ Sch Engn Clayton Vic Australia Natl Sports Inst Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9781538607336

Performance profiling in sports allow evaluating opponents' tactics and the development of counter tactics to gain a competitive advantage. The work presented develops a comprehensive methodology to automate tactical profiling in elite badminton. The proposed approach uses computer vision techniques to automate data gathering from video footage. The image processing algorithm is validated using video footage of the highest level tournaments, including the Olympic Games. The average accuracy of player position detection is 96.03% and 97.09% on the two halves of a badminton court. Next, frequent trajectories of badminton players are extracted and classified according to their tactical relevance. The classification performs at 97.79% accuracy, 97.81% precision, 97.44% recall, and 97.62% F-score. The combination of automated player position detection, frequent trajectory extraction, and the subsequent classification can be used to automatically generate player tactical profiles.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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When Kernel Methods meet Feature Learning: Log-Covariance Network for Action recognition from Skeletal Data 30

When Kernel Methods meet Feature Learning: Log-Covariance Ne...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Cavazza, Jacopo Morerio, Pietro Murino, Vittorio Ist Italiano Tecnol Pattern Anal & Comp Vis PAVIS Genoa Italy Univ Genoa Electr Elect & Telecommun Engn Naval Architecture Genoa Italy Univ Verona Comp Sci Dept Verona Italy

ISBN: (纸本)9781538607336

Human action recognition from skeletal data is a hot research topic and important in many open domain applications of computer vision, thanks to recently introduced 3D sensors. In the literature, naive methods simply transfer off-the-shelf techniques from video to the skeletal representation. However, the current state-of-the-art is contended between to different paradigms: kernel-based methods and feature learning with (recurrent) neural networks. Both approaches show strong performances, yet they exhibit heavy, but complementary, drawbacks. Motivated by this fact, our work aims at combining together the best of the two paradigms, by proposing an approach where a shallow network is fed with a covariance representation. Our intuition is that, as long as the dynamics is effectively modeled, there is no need for the classification network to be deep nor recurrent in order to score favorably. We validate this hypothesis in a broad experimental analysis over 6 publicly available datasets.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Trusting the computer in computer vision: A Privacy-Affirming Framework 30

Trusting the Computer in Computer Vision: A Privacy-Affirmin...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Chen, Andrew Tzer-Yeu Biglari-Abhari, Morteza Wang, Kevin I-Kai Univ Auckland Dept Elect & Comp Engn Embedded Syst Res Grp Auckland New Zealand

ISBN: (纸本)9781538607336

The use of surveillance cameras continues to increase, ranging from conventional applications such as law enforcement to newer scenarios with looser requirements such as gathering business intelligence. Humans still play an integral part in using and interpreting the footage from these systems, but are also a significant factor in causing unintentional privacy breaches. As computer vision methods continue to improve, we argue in this position paper that system designers should reconsider the role of machines in surveillance, and how automation can be used to help protect privacy. We explore this by discussing the impact of the human-in-the-loop, the potential for using abstraction and distributed computing to further privacy goals, and an approach for determining when video footage should be hidden from human users. We propose that in an ideal surveillance scenario, a privacy-affirming framework causes collected camera footage to be processed by computers directly, and never shown to humans. This implicitly requires humans to establish trust, to believe that computer vision systems can generate sufficiently accurate results without human supervision, so that if information about people must be gathered, unintentional data collection is mitigated as much as possible.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Information Hiding in RGB Images Using an Improved Matrix pattern Approach 30

Information Hiding in RGB Images Using an Improved Matrix Pa...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Nilizadeh, Amirfarhad Mazurczyk, Wojciech Zou, Cliff Leavens, Gary T. Univ Cent Florida Dept Comp Sci Orlando FL 32816 USA Warsaw Univ Technol Inst Telecommun Warsaw Poland

ISBN: (纸本)9781538607336

In this paper, a novel steganography algorithm based on an improved "Matrix pattern" (MP) method is presented. In this process, firstly, an RGB image is divided into the non-overlapping square-sized blocks. Next, 95 dynamic-sized unique matrix patterns are automatically generated using the 4th and 5th bit layers of the green layer of each block, which are assigned to 95 English keyboard characters. Then, the blue layer of each block is used for embedding secret messages by adding matrix patterns which are assigned to the characters of the secret message. The results show that this algorithm has a high resistance against steganalysis attacks, including Regular Singular (RS), Sample Pair (SP), and PVD based attacks. Furthermore, the proposed algorithm not only improves capacity by over 27% when compared to the existing method, but also results in a slightly better transparency of the stego-image.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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A Cost-effective Framework for Automated Vehicle-pedestrian Near-miss Detection through Onboard Monocular vision 30

A Cost-effective Framework for Automated Vehicle-pedestrian ...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Ke, Ruimin Lutin, Jerome Spears, Jerry Wang, Yinhai Univ Washington Seattle WA 98195 USA New Jersey Transit Newark NJ USA Washington State Transit Insurance Pool Olympia WA USA

ISBN: (纸本)9781538607336

Onboard monocular cameras have been widely deployed in both public transit and personal vehicles. Obtaining vehicle-pedestrian near-miss event data from onboard monocular vision systems may be cost-effective compared with onboard multiple-sensor systems or traffic surveillance videos. But extracting near-misses from onboard monocular vision is challenging and little work has been published. This paper fills the gap by developing a framework to automatically detect vehicle-pedestrian near-misses through onboard monocular vision. The proposed framework can estimate depth and real-world motion information through monocular vision with a moving video background. The experimental results based on processing over 30-hours video data demonstrate the ability of the system to capture near-misses by comparison with the events logged by the Rosco/MobilEye Shield+ system which includes four cameras working cooperatively. The detection overlap rate reaches over 90% with the thresholds properly set.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Teaching computer vision and its Societal Effects: A Look at Privacy and Security Issues from the Students' Perspective 30

Teaching Computer Vision and its Societal Effects: A Look at...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Cote, Melissa Albu, Alexandra Branzan Univ Victoria Victoria BC Canada

ISBN: (纸本)9781538607336

In this paper, we look at the societal effects of computer vision technologies from the perspective of the future minds in computer vision: senior year engineering students. Engineering education has traditionally focused on technical skills and knowledge. Nowadays, the need for educating engineers in socio-technical skills and reflective thinking, especially on the bright and dark sides of the technology they develop, is being recognized. We advocate for the integration of social awareness modules into computer vision courses so that the societal effects of technology can be studied together with the technology itself, as opposed to the often more generic 'impact of technology on society' courses. Such modules provide a venue for students to reflect on the real-world consequences of technology in concrete, practical contexts. In this paper, we present qualitative results of an observational study analyzing essays of senior year engineering students, who wrote about societal impacts of computer vision technologies of their choice. Privacy and security issues ranked as the top impact topics discussed by students among 50 topics. Similar social awareness modules would apply well to other advanced technical courses of the engineering curriculum where privacy and security are a major concern, such as big data courses. We believe that such modules are highly likely to enhance the reflective abilities of engineering graduates regarding societal impacts of novel technologies.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Assisting Users in a World Full of Cameras A Privacy-aware Infrastructure for computer vision Applications 30

Assisting Users in a World Full of Cameras A Privacy-aware I...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Das, Anupam Degeling, Martin Wang, Xiaoyou Wang, Junjue Sadeh, Norman Satyanarayanan, Mahadev Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781538607336

computer vision based technologies have seen widespread adoption over the recent years. This use is not limited to the rapid adoption of facial recognition technology but extends to facial expression recognition, scene recognition and more. These developments raise privacy concerns and call for novel solutions to ensure adequate user awareness, and ideally, control over the resulting collection and use of potentially sensitive data. While cameras have become ubiquitous, most of the time users are not even aware of their presence. In this paper we introduce a novel distributed privacy infrastructure for the Internet-of-Things and discuss in particular how it can help enhance user's awareness of and control over the collection and use of video data about them. The infrastructure, which has undergone early deployment and evaluation on two campuses, supports the automated discovery of IoT resources and the selective notification of users. This includes the presence of computer vision applications that collect data about users. In particular, we describe an implementation of functionality that helps users discover nearby cameras and choose whether or not they want their faces to be denatured in the video streams.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation 30

It's Written All Over Your Face: Full-Face Appearance-Based ...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Zhang, Xucong Sugano, Yusuke Fritz, Mario Bulling, Andreas Max Planck Inst Informat Perceptual User Interfaces Grp Saarland Informat Campus Saarbrucken Germany Max Planck Inst Informat Scalable Learning & Percept Grp Saarland Informat Campus Saarbrucken Germany Osaka Univ Grad Sch Informat Sci & Technol Suita Osaka Japan Max Planck Inst Informat Saarbrucken Germany

ISBN: (纸本)9781538607336

Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation work indicated that information from the full face region can benefit performance. Pushing this idea further, we propose an appearance-based method that, in contrast to a long-standing line of work in computer vision, only takes the full face image as input. Our method encodes the face image using a convolutional neural network with spatial weights applied on the feature maps to flexibly suppress or enhance information in different facial regions. Through extensive evaluation, we show that our full-face method significantly outperforms the state of the art for both 2D and 3D gaze estimation, achieving improvements of up to 14.3% on MPIIGaze and 27.7% on EYEDIAP for person-independent 3D gaze estimation. We further show that this improvement is consistent across different illumination conditions and gaze directions and particularly pronounced for the most challenging extreme head poses.

关键词： computer vision

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An Early Experience Toward Developing computer Aided Diagnosis for Gram-Stained Smears Images 30

An Early Experience Toward Developing Computer Aided Diagnos...

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30th ieee/cvf conference on computer vision and pattern recognition workshops (cvprw)

作者： Carvajal, Johanna Smith, Daniel F. Zhao, Kun Wiliem, Arnold Finucane, Paul Hobson, Peter Jennings, Anthony McDougall, Rodney Lovell, Brian Univ Queensland Brisbane Qld Australia Sullivan Nicolaides Pathol Bowen Hills Qld Australia

ISBN: (纸本)9781538607336

Gram stained direct smears test is clinically useful in early identification of infections. Unfortunately, this practice is considered time consuming and labour intensive. Most existing effort in this area is to perform high-magnification analysis of images taken from manually selected areas. In this paper, we address the problem of the automatic selection of candidate areas (or patches) for subsequent high-magnification analysis. Specifically, we explore and study the possibility of selecting good working areas based on low-magnification images, where bacteria are likely to be found when viewed in high-magnification images. To this end, we develop an approach to classify the areas of interest according to the textural information of the image patch. We explore and study the efficacy of traditional textural features such as Histogram of Gradients, Local Binary patterns, and 2 Dimensional Discrete Cosine Transform. Experiments show that the best variant method is able to select working areas where it is likely to find bacteria in high-powered objective images in a wide range of images.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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