Computer Vision and Action Recognition

Released on by Md. Atiqur Rahman Ahad
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  • Computer Vision and Action Recognition Book Detail

  • Author : Md. Atiqur Rahman Ahad
  • Release Date : 2011-12-02
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 228
  • ISBN 13 : 9491216201
  • File Size : 28,28 MB
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Computer Vision and Action Recognition by Md. Atiqur Rahman Ahad PDF Summary

Book Description: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.

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Computer Vision and Action Recognition

Computer Vision and Action Recognition

File Size : 33,33 MB
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Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings

Human Activity Recognition and Prediction

Human Activity Recognition and Prediction

File Size : 78,78 MB
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This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D

Computer Vision – ECCV 2012

Computer Vision – ECCV 2012

File Size : 41,41 MB
Total View : 9644 Views
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The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held