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{ "item_title" : "Deep Learning-Based Action Recognition", "item_author" : [" Hyo Jong Lee "], "item_description" : "The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns. Technology for the recognition of human action pattern includes the processing technology of human behavior data for learning, technology of expressing feature values ​​of images, technology of extracting spatiotemporal information of images, technology of recognizing human posture, and technology of gesture recognition. Research on these technologies has recently been conducted using general deep learning network modeling of artificial intelligence technology, and excellent research results have been included in this edition.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/655/199/3036551999_b.jpg", "price_data" : { "retail_price" : "78.63", "online_price" : "78.63", "our_price" : "78.63", "club_price" : "78.63", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Learning-Based Action Recognition|Hyo Jong Lee

Deep Learning-Based Action Recognition

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Overview

The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns. Technology for the recognition of human action pattern includes the processing technology of human behavior data for learning, technology of expressing feature values ​​of images, technology of extracting spatiotemporal information of images, technology of recognizing human posture, and technology of gesture recognition. Research on these technologies has recently been conducted using general deep learning network modeling of artificial intelligence technology, and excellent research results have been included in this edition.

Details

  • ISBN-13: 9783036551999
  • ISBN-10: 3036551999
  • Publisher: Mdpi AG
  • Publish Date: September 2022
  • Dimensions: 9.61 x 6.69 x 0.81 inches
  • Shipping Weight: 1.58 pounds
  • Page Count: 240

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