TY - GEN
T1 - Alleviating cavity problems in moving object detection based on hysteresis thresholding and multi-models
AU - Lin, Chin Yang
AU - Chang, Wei Wen
AU - Prangjarote, Panyaporn
AU - Yeh, Chia Hung
AU - Lin, Guo Shiang
PY - 2013
Y1 - 2013
N2 - Traditional background modeling methods often require complicated computations and suffer from cavity problems in foreground objects. In this paper, we propose a block-based background modeling method combining multiple detection results derived from color and texture characteristics. This method can significantly alleviate the cavity problem and resist certain shadow interference. Since the proposed scheme only requires low complexity, it is suitable for real-time applications.
AB - Traditional background modeling methods often require complicated computations and suffer from cavity problems in foreground objects. In this paper, we propose a block-based background modeling method combining multiple detection results derived from color and texture characteristics. This method can significantly alleviate the cavity problem and resist certain shadow interference. Since the proposed scheme only requires low complexity, it is suitable for real-time applications.
UR - https://www.scopus.com/pages/publications/84883498167
UR - https://www.scopus.com/pages/publications/84883498167#tab=citedBy
U2 - 10.1109/ISCE.2013.6570179
DO - 10.1109/ISCE.2013.6570179
M3 - Conference contribution
AN - SCOPUS:84883498167
SN - 9781467361996
T3 - Proceedings of the International Symposium on Consumer Electronics, ISCE
SP - 191
EP - 192
BT - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
T2 - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Y2 - 3 June 2013 through 6 June 2013
ER -