Abstract
It is often that we count the number of objects in various situations. In the case of several objects, we can recognize the number at a glance. On the other hand, in the case of a dozen of objects, the task to count the number might become troublesome. Thus, simple and easy way to enumerate the objects automatically has been expected. In this study, we propose a method to recognize the number of objects by image. In general, the target object to count varies according to user's request. In order to accept the user's various requests, a desired object in the taken picture is manually designated as a region, which is used as a template. Main process of the proposed method is to search and count regions which are resemble to the template. To achieve a robust searching for spatial transformation, such as translation, rotation, and scaling, scale-invariant feature transform (SIFT) is employed as a feature. To show the effectiveness, the proposed method is applied to some images taking ordinary things, e.g. binders, cans, etc.
