By Topic

A confidence measure based moving object extraction system built for compressed domain

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Wang, R. ; Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA ; Hong-Jiang Zhang ; Ya-Qin Zhang

As the proliferation of compressed video sequences in MPEG formats continues, the ability to perform video analysis directly in the compressed domain becomes increasingly attractive. The availability of motion vectors and pixel values in coded forms can indirectly provide motion and intensity information for object analysis, avoiding the need to re-perform motion estimation. Albeit that the embedded motion field is contaminated with matching modeling errors and measurement errors, we will illustrate several motion field filtering and correction techniques to combat with noisy motion fields. We strive to reconstruct smooth true motion fields with a minimal amount of decoding, reducing computational resource and time requirement. In this paper, we describe the whole moving object extraction system with the general framework and component designs and show their effectiveness with two test sequences

Published in:

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on  (Volume:5 )

Date of Conference:

2000