The analysis of the color similarity problem in moving object detection

The color similarity between the background and foreground causes serious misdetections in moving object detection from video sequences. In this paper, we point out that the existence of a confusion point and the model inaccuracy are the reasons for the misdetections due to the color similarity. Accordingly, the solutions of the color similarity are to shift the confusion point and to improve the model accuracy. Based on this conclusion, a simple algorithm by combining a weighting technique and a new foreground model is presented, and improved results are generated. More accurate weighting techniques and foreground models are expected to be developed in the future based on the solutions.