Motion Tracking and Gesture Recognition

Carlos Travieso-Gonzalez

ISBN 10: 9535133772 / ISBN 13: 9789535133773

Verlag: Intechopen Jul 2017, 2017

Beschreibung

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.

Bestandsnummer des Verkäufers 9789535133773

Bibliografische Details

• Titel: Motion Tracking and Gesture Recognition
• Verlag: Intechopen Jul 2017
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 9535133772
• ISBN-13: 9789535133773
• Einband: Buch
• Zustand: Neu
• Abmessungen: 266B x 185 H x 17 T Millimeter Breite: 266 mm, Höhe: 185 mm, Tiefe: 17 mm
• Gewicht: 596 Gramm

Über diesen Titel

Inhaltsangabe

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.