Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Using assorted color spaces and pixel window sizes for colorization of grayscale images
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A multi-layer scene model for video surveillance applications
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Retrieval of changes in moving objects in multiple and color images
Proceedings of the 2011 International Conference on Communication, Computing & Security
Shadow detection: A survey and comparative evaluation of recent methods
Pattern Recognition
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Moving shadow elimination is an important step in many applications of video. And pixels belonging shadow region are often misclassified as object during segmentation and tracking. There are many algorithms that deal with shadow in different color spaces in literatures. However, it is difficult to determine the optimal color space in which to remove shadow. In this paper, we study the features of moving object and shadow in different color spaces to solve the problem, and a moving object detecting model is given by using grey and gradient of shadow.