Motion Tracking and Gesture Recognition

Carlos Travieso-Gonzalez

ISBN 10: 9535133772 / ISBN 13: 9789535133773

Published by Intechopen Jul 2017, 2017

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 174 pp. Englisch.

Seller Inventory # 9789535133773

Bibliographic Details

• Title: Motion Tracking and Gesture Recognition
• Publisher: Intechopen Jul 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 9535133772
• ISBN 13: 9789535133773
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 17D millimeters 266 millimeters width by 185 millimeters height by 17 millimeters depth
• Weight: 596 grams

About this title

Synopsis

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.