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Human Action Recognition with Depth Cameras
Wang, Jiang; Liu, Zicheng; Wu, Ying
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Description for Human Action Recognition with Depth Cameras
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 67 pages, 23 black & white illustrations, 9 colour illustrations, 9 black & white tables, biography. BIC Classification: UYQP; UYT; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 4. Weight in Grams: 124.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
67
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
59
Place of Publication
Cham, Switzerland
ISBN
9783319045603
SKU
V9783319045603
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Human Action Recognition with Depth Cameras
“It is a relatively short but self-contained volume that presents recent advances in the popular research area of human action recognition. … I was quite pleased when the student, to whom I passed the book for a through read, told me at the end that he found it very useful and a good start for his research. ... book is ... Read more