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Advances in Human Activity Detection and Recognition (HADR) Systems [electronic resource] / by Santosh Kumar Tripathy, Roshan Singh, Rajeev Srivastava, Akash Kumar Bhoi, Santosh Kumar Satapathy.

By: Contributor(s): Material type: TextSeries: Synthesis Lectures on Computer SciencePublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIII, 138 p. 22 illus., 10 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031516603
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TA1501-1820
  • TA1634
Online resources:
Contents:
Introduction -- Basic Framework of HADR -- Datasets -- Applications for HADR -- Comparative Analysis of HADR 94 -- Conclusion and Future Directions.
In: Springer Nature eBookSummary: This book provides a comprehensive overview of Human Activity Detection or Recognition (HADR) systems. Detection or recognition of human activities is a prominent research area in the fields of computer vision and artificial intelligence because of its many applications in daily life, including monitoring in public transport areas, health monitoring, anomaly detection in traffic, and smart homes. This book divides different activities according to their criticality, then discusses the various motivations and challenges that are involved in HADR systems. The authors then propose a framework for activity detection or recognition. The book also covers ten key applications of HADR systems and the recent developments for each of them. The authors also propose areas for future research.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Introduction -- Basic Framework of HADR -- Datasets -- Applications for HADR -- Comparative Analysis of HADR 94 -- Conclusion and Future Directions.

This book provides a comprehensive overview of Human Activity Detection or Recognition (HADR) systems. Detection or recognition of human activities is a prominent research area in the fields of computer vision and artificial intelligence because of its many applications in daily life, including monitoring in public transport areas, health monitoring, anomaly detection in traffic, and smart homes. This book divides different activities according to their criticality, then discusses the various motivations and challenges that are involved in HADR systems. The authors then propose a framework for activity detection or recognition. The book also covers ten key applications of HADR systems and the recent developments for each of them. The authors also propose areas for future research.

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