The Resource Real-time vision-based hand and face tracking and recognition of gesture : a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science, by Farhad Dadgostar

Real-time vision-based hand and face tracking and recognition of gesture : a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science, by Farhad Dadgostar

Label
Real-time vision-based hand and face tracking and recognition of gesture : a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science
Title
Real-time vision-based hand and face tracking and recognition of gesture
Title remainder
a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science
Statement of responsibility
by Farhad Dadgostar
Creator
Subject
Language
eng
Cataloging source
PU
http://library.link/vocab/creatorName
Dadgostar, Farhad
Dissertation note
Thesis (Ph. D.)--Massey University, Albany, 2006
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • abstracts summaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Gesture
  • Human-computer interaction
  • Pattern recognition systems
  • Human face recognition (Computer science)
Label
Real-time vision-based hand and face tracking and recognition of gesture : a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science, by Farhad Dadgostar
Instantiates
Publication
Accompanying material
1 CD-ROM (4 3/4 in.)
Bibliography note
Includes bibliographical references (p. 163-174)
Contents
ch. 1. Introduction -- ch. 2. Literature review -- ch. 3. Understanding gesture in daily communications : an empirical study -- ch. 4. Adaptive skin detection -- ch. 5. A novel approach for robust tracking, based on the Mean-shift algorithm -- ch. 6. Modeling and recognition of gesture signals in 2D space -- ch. 7. Summary, conclusion and future research
Control code
11518548
Dimensions
30 cm. +
Extent
xix, 174 p.
Other physical details
ill.
Label
Real-time vision-based hand and face tracking and recognition of gesture : a PhD dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in Computer Science, by Farhad Dadgostar
Publication
Accompanying material
1 CD-ROM (4 3/4 in.)
Bibliography note
Includes bibliographical references (p. 163-174)
Contents
ch. 1. Introduction -- ch. 2. Literature review -- ch. 3. Understanding gesture in daily communications : an empirical study -- ch. 4. Adaptive skin detection -- ch. 5. A novel approach for robust tracking, based on the Mean-shift algorithm -- ch. 6. Modeling and recognition of gesture signals in 2D space -- ch. 7. Summary, conclusion and future research
Control code
11518548
Dimensions
30 cm. +
Extent
xix, 174 p.
Other physical details
ill.

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
    • ManawatÅ« LibraryBorrow it
      Tennent Drive, Palmerston North, Palmerston North, 4472, NZ
      -40.385340 175.617349
Processing Feedback ...