TY - GEN
T1 - A multi-modal moving object detection method based on GrowCut segmentation
AU - Zhang, Xiuwei
AU - Zhang, Yanning
AU - Maybank, Stephen John
AU - Liang, Jun
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/16
Y1 - 2015/1/16
N2 - Commonly-used motion detection methods, such as background subtraction, optical flow and frame subtraction are all based on the differences between consecutive image frames. There are many difficulties, including similarities between objects and background, shadows, low illumination, thermal halo. Visible light images and thermal images are complementary. Many difficulties in motion detection do not occur simultaneously in visible and thermal images. The proposed multimodal detection method combines the advantages of multi-modal image and GrowCut segmentation, overcomes the difficulties mentioned above and works well in complicated outdoor surveillance environments. Experiments showed our method yields better results than commonly-used fusion methods.
AB - Commonly-used motion detection methods, such as background subtraction, optical flow and frame subtraction are all based on the differences between consecutive image frames. There are many difficulties, including similarities between objects and background, shadows, low illumination, thermal halo. Visible light images and thermal images are complementary. Many difficulties in motion detection do not occur simultaneously in visible and thermal images. The proposed multimodal detection method combines the advantages of multi-modal image and GrowCut segmentation, overcomes the difficulties mentioned above and works well in complicated outdoor surveillance environments. Experiments showed our method yields better results than commonly-used fusion methods.
KW - GrowCut segmentation
KW - moving object detection
KW - thermal images
KW - visible light images
UR - https://www.scopus.com/pages/publications/84924236129
U2 - 10.1109/CIMSIVP.2014.7013295
DO - 10.1109/CIMSIVP.2014.7013295
M3 - 会议稿件
AN - SCOPUS:84924236129
T3 - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIMSIVP 2014: 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, Proceedings
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIMSIVP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2014
Y2 - 9 December 2014 through 12 December 2014
ER -