关键词: 常规流, 运动估计, 参数模型, 参数估计, 统计学理论

Abstract: Motion estimation plays a very important role in video coding, and people are pay more and more attention to parameter model estimation . Since statistical model selection is the core of that method, this paper proposes a parameter model motion estimation which uses statistical learning theory. This approach could estimate model’s parameter from several data sets of image flow, analysis the prediction risk and square error of each possible model in order to get the optimal model that conforms mostly to the real changes of the object. Experimental results demonstrate the feasibility and strength of this motion estimation approach to the real image sequences.

Key words: Normal flow, Motion estimation, Parameter model, Parameter estimation, Statistical learning theory