Object detection and video coding using background mosaic plane

Ju-Hyun Cho; Seong-Dae Kim

doi:10.1117/1.2540643

1 February 2007 Object detection and video coding using background mosaic plane

Ju-Hyun Cho, Seong-Dae Kim

Author Affiliations +

Optical Engineering, Vol. 46, Issue 2, 027006 (February 2007). https://doi.org/10.1117/1.2540643

Abstract

Object detection in image sequences has a very important role in many applications, such as surveillance systems, tracking and recognition systems, and coding systems. We are interested in background subtraction, which is very popular algorithm for object detection in image sequences, and also concerned to use the result of detection in selective video coding. Especially when the camera moves and zooms in on something to track the target under drastic illumination change, it is very hard to detect the object properly, and the coding efficiency is reduced. So we generate a multiple background mosaic system, called the background mosaic plane, and use it for object detection and video coding. Some experimental results for both object detection and video coding in various environments show that the average performance of the proposed algorithm is good.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Ju-Hyun Cho and Seong-Dae Kim "Object detection and video coding using background mosaic plane," Optical Engineering 46(2), 027006 (1 February 2007). https://doi.org/10.1117/1.2540643

Published: 1 February 2007

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available