Adaptive classification-based articulation and tracking of video objects employing neural network retraining
Authors: Ntalianis, Klimis 
Doulamis, Anastasios 
Doulamis, Nikolaos 
Issue Date: 1-Jan-2002
Conference: 14th International Conference on Digital Signal Processing (DSP 2002), 1-3 July 2002, Santorini, Greece 
Book: 14th International Conference on Digital Signal Processing Proceedings (DSP 2002) 
Volume: 2
Abstract: 
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic video sequences. The scheme includes (a) a retraining algorithm for adapting network weights to current conditions, (b) a semantically meaningful object extraction module for creating a retraining set and (c) a decision mechanism, which detects the time instances ...
ISBN: 0-7803-7503-3
DOI: 10.1109/ICDSP.2002.1028155
URI: https://uniwacris.uniwa.gr/handle/3000/2819
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations

2
checked on Apr 1, 2025

Page view(s)

25
checked on Apr 5, 2025

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.