Scale and the differential structure of images
Image and Vision Computing - Special issue: information processing in medical imaging 1991
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Color and Scale: The Spatial Structure of Color Images
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
Independent component analysis-based background subtraction for indoor surveillance
IEEE Transactions on Image Processing
Real-time foreground-background segmentation using codebook model
Real-Time Imaging
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust moving object detection against fast illumination change
Computer Vision and Image Understanding
Integrating intensity and texture differences for robust change detection
IEEE Transactions on Image Processing
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
IEEE Transactions on Circuits and Systems for Video Technology
A Robust Object Segmentation System Using a Probability-Based Background Extraction Algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Real-Time Discriminative Background Subtraction
IEEE Transactions on Image Processing
Robust Color Texture Features Under Varying Illumination Conditions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper discusses the problem of segmenting foreground objects precisely in surveillance video images when foreground moving objects and the still backgrounds have the similar color parts. Motivated by the studies in color constancy, the notion of color invariants is introduced to realize integrated segmentation in color similar situations. Color invariants, which are derived from a physical model, are used as descriptors of image. Then a simple background subtraction method using the color invariants is performed to examine the effectiveness of color invariants in color similar situations. The experimental results demonstrated that the color invariants based method performed well in various situations of color similarity and also was robust to environmental illumination change. Moreover, the color invariants based method achieved higher accuracy and efficiency of background subtraction compared with other existing algorithms in practical real-time surveillance video images of indoor environments.