190 research outputs found

    Occupancy Analysis of the Outdoor Football Fields

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    Advanced concepts for intelligent vision systems

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    Exploring real-time video interactivity with Scratch

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    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 40-41).Real-time video interactivity is becoming increasingly popular in today's world with the advent of better and more affordable video input devices. With the recent release of the Microsoft Kinect followed by an official Kinect SDK, there has been an explosion of activity around utilizing this now easily-accessible video sensor data. Many creative uses have surfaced including object recognition, gesture recognition, and more. The audience capable of taking full advantage of these video technologies continues to be a technical crowd, likely with a background in computer science. But what if such video technology were made accessible to a much more diverse crowd? This thesis presents a set of computer vision tools for exploration of the real-time video interactivity space in the context of Scratch (scratch.mit.edu), a graphical block-based programming language accessible to all ages. To decide what functionality to provide to Scratch users, various computer vision algorithms are tested, including object detection, object recognition, face recognition and optical flow. Ultimately, an optical flow implementation is realized and its generative abilities are observed through testing with different user groups.by Ting-Hsiang Tony Hwang.M.Eng

    Image-Based Query by Example Using MPEG-7 Visual Descriptors

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    This project presents the design and implementation of a Content-Based Image Retrieval (CBIR) system where queries are formulated by visual examples through a graphical interface. Visual descriptors and similarity measures implemented in this work followed mainly those defined in the MPEG-7 standard although, when necessary, extensions are proposed. Despite the fact that this is an image-based system, all the proposed descriptors have been implemented for both image and region queries, allowing the future system upgrade to support region-based queries. This way, even a contour shape descriptor has been developed, which has no sense for the whole image. The system has been assessed on different benchmark databases; namely, MPEG-7 Common Color Dataset, and Corel Dataset. The evaluation has been performed for isolated descriptors as well as for combinations of them. The strategy studied in this work to gather the information obtained from the whole set of computed descriptors is weighting the rank list for each isolated descriptor

    Affective Brain-Computer Interfaces

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    Advances in Robotics, Automation and Control

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    The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. Through its 24 chapters, this book presents topics related to control and robot design; it also introduces new mathematical tools and techniques devoted to improve the system modeling and control. An important point is the use of rational agents and heuristic techniques to cope with the computational complexity required for controlling complex systems. Through this book, we also find navigation and vision algorithms, automatic handwritten comprehension and speech recognition systems that will be included in the next generation of productive systems developed by man

    News from Hope College, Volume 42.1: August, 2010

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    https://digitalcommons.hope.edu/news_from_hope_college/1208/thumbnail.jp

    Image-Based Query by Example Using MPEG-7 Visual Descriptors

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    This project presents the design and implementation of a Content-Based Image Retrieval (CBIR) system where queries are formulated by visual examples through a graphical interface. Visual descriptors and similarity measures implemented in this work followed mainly those defined in the MPEG-7 standard although, when necessary, extensions are proposed. Despite the fact that this is an image-based system, all the proposed descriptors have been implemented for both image and region queries, allowing the future system upgrade to support region-based queries. This way, even a contour shape descriptor has been developed, which has no sense for the whole image. The system has been assessed on different benchmark databases; namely, MPEG-7 Common Color Dataset, and Corel Dataset. The evaluation has been performed for isolated descriptors as well as for combinations of them. The strategy studied in this work to gather the information obtained from the whole set of computed descriptors is weighting the rank list for each isolated descriptor

    Multimedia Retrieval

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