Analysis and recognition of human actions with flow features and temporal models

Dublin Core

Title

Analysis and recognition of human actions with flow features and temporal models

Subject

temporal models

Description

This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.

Creator

Kühne, Hildegard

Source

https://www.ksp.kit.edu/9783731502821

Publisher

KIT Scientific Publishing

Date

KIT Scientific Publishing

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Kühne, Hildegard, “Analysis and recognition of human actions with flow features and temporal models,” Open Educational Resource (OER) - USK Library, accessed February 27, 2024, http://uilis.usk.ac.id/oer/items/show/3097.

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