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Motion-Based Recognition

2013-03-09 Computers
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Release : 2013-03-09
Genre : Computers
Kind : eBook
Book Rating : 356/5 ( reviews)

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Book Synopsis Motion-Based Recognition by : Mubarak Shah

Download or read book Motion-Based Recognition written by Mubarak Shah. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.

Motion Tracking and Gesture Recognition

2017-07-12 Computers
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Release : 2017-07-12
Genre : Computers
Kind : eBook
Book Rating : 772/5 ( reviews)

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Book Synopsis Motion Tracking and Gesture Recognition by : Carlos Travieso-Gonzalez

Download or read book Motion Tracking and Gesture Recognition written by Carlos Travieso-Gonzalez. This book was released on 2017-07-12. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the technological advances allow developing many applications on different fields. In this book Motion Tracking and Gesture Recognition, two important fields are shown. Motion tracking is observed by a hand-tracking system for surgical training, an approach based on detection of dangerous situation by the prediction of moving objects, an approach based on human motion detection results and preliminary environmental information to build a long-term context model to describe and predict human activities, and a review about multispeaker tracking on different modalities. On the other hand, gesture recognition is shown by a gait recognition approach using Kinect sensor, a study of different methodologies for studying gesture recognition on depth images, and a review about human action recognition and the details about a particular technique based on a sensor of visible range and with depth information.

Motion History Images for Action Recognition and Understanding

2012-12-28 Computers
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Release : 2012-12-28
Genre : Computers
Kind : eBook
Book Rating : 308/5 ( reviews)

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Book Synopsis Motion History Images for Action Recognition and Understanding by : Md. Atiqur Rahman Ahad

Download or read book Motion History Images for Action Recognition and Understanding written by Md. Atiqur Rahman Ahad. This book was released on 2012-12-28. Available in PDF, EPUB and Kindle. Book excerpt: Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.

Human Motion Sensing and Recognition

2017-05-11 Technology & Engineering
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Release : 2017-05-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 927/5 ( reviews)

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Book Synopsis Human Motion Sensing and Recognition by : Honghai Liu

Download or read book Human Motion Sensing and Recognition written by Honghai Liu. This book was released on 2017-05-11. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis.

Universal Motion-based Control and Motion Recognition

2013 Haptic devices
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Release : 2013
Genre : Haptic devices
Kind : eBook
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Book Synopsis Universal Motion-based Control and Motion Recognition by : Mingyu Chen

Download or read book Universal Motion-based Control and Motion Recognition written by Mingyu Chen. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: In this dissertation, we propose a universal motion-based control framework that supports general functionalities on 2D and 3D user interfaces with a single integrated design. We develop a hybrid framework of optical and inertial sensing technologies to track 6-DOF (degrees of freedom) motion of a handheld device, which includes the explicit 6-DOF (position and orientation in the global coordinates) and the implicit 6-DOF (acceleration and angular speed in the device-wise coordinates). Motion recognition is another key function of the universal motion-based control and contains two parts: motion gesture recognition and air-handwriting recognition. The interaction technique of each task is carefully designed to follow a consistent mental model and ensure the usability. The universal motion-based control achieves seamless integration of 2D and 3D interactions, motion gestures, and air-handwriting. Motion recognition by itself is a challenging problem. For motion gesture recognition, we propose a normalization procedure to effectively address the large in-class motion variations among users. The main contribution is the investigation of the relative effectiveness of various feature dimensions (of tracking signals) for motion gesture recognition in both user-dependent and user-independent cases. For air-handwriting recognition, we first develop a strategy to model air-handwriting with basic elements of characters and ligatures. Then, we build word-based and letter-based decoding word networks for air-handwriting recognition. Moreover, we investigate the detection and recognition of air-fingerwriting as an extension to air-handwriting. To complete the evaluation of air-handwriting, we conduct usability study to support that air-handwriting is suitable for text input on a motion-based user interface.

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