A Color-Based Gray-Level Compensation Algorithm for Fast Change Detection

Author

Su, Chang ; Amer, Aishy

Author_Institution

Electr. & Comput. Eng., Concordia Univ., Montreal, Que.

Volume

1

fYear

2007

fDate

15-20 April 2007

Abstract

Gray-level based change detection is effective but suffers when gray-levels of objects are similar to backgrounds. A color-based gray-level compensation algorithm for fast change detection is proposed in this paper. Based on the object scatter estimation in difference frames, the gray-levels of the non-significant pixels in object regions are compensated according to their significance probabilities in color channels. Experimental results show that the proposed method significantly improve the quality of difference frames.

Keywords

image colour analysis; image resolution; object detection; color-based gray-level compensation algorithm; fast change detection; non-significant pixels; object scatter estimation; Change detection algorithms; Colored noise; Euclidean distance; Image color analysis; Image processing; Image segmentation; Object detection; Scattering; Testing; Video compression; Image processing; image color analysis; image segmentation; object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2007.366101

Filename

4217273