关键词: 目标检测, 形状脚本模型, 勾画样本, 递归求和-最大值图

Abstract: The traditional sparse active contour model can be used to solve the problem of localization when the target is viewed from different angle or exists a little deformation, but it is difficult to solve the problem when the target is large changed. This paper presents an object detection algorithm based on sparse active contour spread shape script model to solve this problem. Firstly, various shape motifs are learned with sketch samples by the spread active contour model, the shape script model of object is made up of the shape motifs, and so the mode of object is clearly defined. Secondly, the matching of a shape script template to a testing image can be accomplished by a cortex-like structure of recursive sum-max maps. The experimental results show that the method can solve the prob-lem of localization when the target is large changed, occlusive or in complex background.

Key words: object detection, shape script model, sketch samples, recursive sum-max maps