Multiple object tracking in H.264 compressed video using fuzzy sets
(Sprache: Englisch)
This book deals with Object detection and tracking Object tracking is a significant technique in the field of computer vision. With the growing need of detection-based security and industrial applications, the object detection and tracking in a fast and...
Leider schon ausverkauft
versandkostenfrei
Buch
71.90 €
35 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Multiple object tracking in H.264 compressed video using fuzzy sets “
Klappentext zu „Multiple object tracking in H.264 compressed video using fuzzy sets “
This book deals with Object detection and tracking Object tracking is a significant technique in the field of computer vision. With the growing need of detection-based security and industrial applications, the object detection and tracking in a fast and reliable manner has been attracting much interest.In this book ,efficient object detection and movement tracking in h.264 compressed video is proposed
Autoren-Porträt von K. Srinivasan, V. R. Azhaguramyaa
Srinivasan, K.Dr..K. Srinivasan working as a Associate Professor/ECE in Sri Krishna College of Technology, Coimbatore and Completed Ph.D in Anna University Chennai.Having 12 years of experience in teaching and Published 20 Papers in International journals and Presented 20 papers in international conferences. life member in ISTE
Bibliographische Angaben
- Autoren: K. Srinivasan , V. R. Azhaguramyaa
- 2019, 188 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 613945798X
- ISBN-13: 9786139457984
Sprache:
Englisch
Kommentar zu "Multiple object tracking in H.264 compressed video using fuzzy sets"
0 Gebrauchte Artikel zu „Multiple object tracking in H.264 compressed video using fuzzy sets“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Multiple object tracking in H.264 compressed video using fuzzy sets".
Kommentar verfassen