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{ "item_title" : "Machine Learning for Human Motion Analysis", "item_author" : [" Liang Wang", "Li Cheng", "Guoying Zhao "], "item_description" : "With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Theory and Practice highlights the development of robust and effective vision-based motion understanding systems. This advanced publication addresses a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/60/566/900/1605669008_b.jpg", "price_data" : { "retail_price" : "245.00", "online_price" : "245.00", "our_price" : "245.00", "club_price" : "245.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning for Human Motion Analysis|Liang Wang

Machine Learning for Human Motion Analysis : Theory and Practice

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Overview

With the ubiquitous presence of video data and its increasing importance in a wide range of real-world applications, it is becoming increasingly necessary to automatically analyze and interpret object motions from large quantities of footage. Machine Learning for Human Motion Analysis: Theory and Practice highlights the development of robust and effective vision-based motion understanding systems. This advanced publication addresses a broad audience including practicing professionals working with specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.

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Details

  • ISBN-13: 9781605669007
  • ISBN-10: 1605669008
  • Publisher: Medical Information Science Reference
  • Publish Date: December 2009
  • Dimensions: 11.5 x 8.7 x 1.1 inches
  • Shipping Weight: 2.6 pounds
  • Page Count: 318

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