Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Kunstig intelligens
  3. Machine learning

Moving Objects Detection Using Machine Learning

Af: Ashish M. Kothari, Chandresh Vithalani, Navneet Ghedia, Rohit M. Thanki Engelsk Paperback

Moving Objects Detection Using Machine Learning

Af: Ashish M. Kothari, Chandresh Vithalani, Navneet Ghedia, Rohit M. Thanki Engelsk Paperback
Tjek vores konkurrenters priser
This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 85
ISBN-13: 9783030909093
Indbinding: Paperback
Udgave:
ISBN-10: 3030909093
Kategori: Machine learning
Udg. Dato: 17 dec 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 17 dec 2021
Forfatter(e): Ashish M. Kothari, Chandresh Vithalani, Navneet Ghedia, Rohit M. Thanki
Forfatter(e) Ashish M. Kothari, Chandresh Vithalani, Navneet Ghedia, Rohit M. Thanki

Kategori Machine learning

ISBN-13 9783030909093

Sprog Engelsk

Indbinding Paperback

Sider 85

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 17 dec 2021

Oplagsdato 17 dec 2021

Forlag Springer Nature Switzerland AG

Vi anbefaler også
Rosamunde Pilcher Vejen hjem
Vejen hjem
Rosamunde Pilcher
66 kr
Kategori sammenhænge