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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Human Action Recognition with Depth Cameras

Human Action Recognition with Depth Cameras

Wang, Jiang
Liu, Zicheng
Wu, Ying

Paperback

Series: Springerbriefs in Computer Science

General ComputersProgramming

ISBN10: 3319045601
ISBN13: 9783319045603
Publisher: Springer Nature
Published: Feb 4 2014
Pages: 59
Weight: 0.24
Height: 0.14 Width: 6.14 Depth: 9.21
Language: English
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 andpractitioners.

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