Description: Human Action Recognition with Depth Cameras Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Jiang Wang, Zicheng Liu, Ying Wu Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319045603, 978-3319045603 Synopsis Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.
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Book Title: Human Action Recognition with Depth Cameras
Number of Pages: 59 Pages
Publication Name: Human Action Recognition with Depth Cameras
Language: English
Publisher: Springer International Publishing A&G
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2014
Type: Textbook
Item Weight: 1182 g
Author: Jiang Wang, Zicheng Liu, Ying Wu
Item Width: 155 mm
Series: Springerbriefs in Computer Science
Format: Paperback