Research on background segmentation algorithm of moving image in speed skatingvideo

Abstract

The background segmentation of human motion images is the first step in the process of human motion analysis. It is the low-level processing part of human motion analysis. The processing effect at this stage directly affects the progress of the follow-up work. The segmentation results have a great impact on the final human motion analysis results. An important purpose of our research is to endow the computer with the ability being similar to the human vision. So, the computer can feel the motion object in the view and apprehend the behavior of the human more easily. The paper is studied on the representative theories and algorithms of the background subtraction with human motion monocular image. And this paper analyses the predominance and deficiency of these theories and algorithm. These algorithms include differential images, Running Gaussian average, the Mixture of Gaussians and BP neural network. The basic principle and steps of realization are expounded. Also the data of the evaluation is given. Experiment shows that the proposed algorithm of background subtraction is highly effective and it can cast the reflected light, shadow and inverted image well. The algorithm improves the correct rate of target segmentation and is suitable for human motion image segmentation in this complex ice field environment.