Text

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

---

Abstract
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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

: .,

Collation

-

Language

ISBN/ISSN

9783731502821

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

-

Specific Detail Info

-

Statement of Responsibility

Kühne, Hildegard

Other Information

Cataloger

Siti

Source

-

Validator

-

Digital Object Identifier (DOI)

10.5445/KSP/1000043583

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment