Object detection using multi-resolution mosaic in image sequences

Object detection in image sequences has a very important role in many applications such as surveillance systems, tracking and recognition systems, coding systems and so on. This paper proposes a unified framework for background subtraction, which is very popular algorithm for object detection in image sequences. And we propose an algorithm using spatio-temporal thresholding and truncated variable adaptation rate (TVAR) for object detection and background adaptation, respectively. Especially when the camera moves and zooms in on something to track the target, we generate multi-resolution mosaic which is made up of many background mosaics with different resolution, and use it for object detection. Some experimental results in various environments show that the averaged performance of the proposed algorithm is good. (c) 2005 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2005-03
Language
ENG
Keywords

ILLUMINATION; ALGORITHM

Citation

SIGNAL PROCESSING-IMAGE COMMUNICATION, v.20, no.3, pp.233 - 253

ISSN
0923-5965
DOI
10.1016/j.image.2004.12.001
URI
http://hdl.handle.net/10203/3334
Appears in Collection
EE-Journal Papers(저널논문)
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