Jiang Wang & Zicheng Liu 
Human Action Recognition with Depth Cameras [PDF ebook] 

Ủng hộ

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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Mục lục

Introduction.- Learning Actionlet Ensemble for 3D Human Action Recognition.- Random Occupancy Patterns.- Conclusion.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 59 ● ISBN 9783319045610 ● Kích thước tập tin 3.3 MB ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2014 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 3162441 ● Sao chép bảo vệ DRM xã hội

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