Using Template Matching for Object Recognition in Video Sequences Acquired in Visible Range

This paper deals with problems of surface object recognition in urban environmental conditions in video sequences using the template matching technique. Target recognition is always necessary in the selection and tracking the defined objects. The objects feature is changed in dependence on time and space condition such as weather condition, urban environment, etc. In this article, we proposed a method for targets recognition using template matching technique in video sequences acquired in visible spectrum (TV video). A user simply chooses the given object at some point during detection. On the basis of feature of selected object, the algorithm employed the template matching techniques to find the object. The designed algorithms were tested in program MATLAB and MATLAB - SIMULINK. The paper will deal with a new algorithm using template matching. The idea of the paper will approach to reduce processing rate and increase precision for object detection and selection in picture using template matching technique. In this paper we have employed the similarity criteria normalized cross correlation. The cross correlation is not invariant to changes in image intensity such as lighting conditions, and the range of correlation coefficient is dependent on the size of the feature, while we can normalize for the effect of changing intensity and template size by using normalized cross correlation. The basic principle of the algorithm is based on the assumption the object is selected at time t with the centre of mass T and we also know the greatest relative velocity between the camera and the target v(ct). Thus, the greatest distance which the target can move after the interval Delta t will be limited in the circle with the centre T at time t and radius R. That means the size of compared image will be smaller than the size of original frame in TV video sequence. Therefore, the computational time will be faster. In order to reduce the unnecessary computational time of the template matching technique in whole frame, we need to keep the requirement of the selected maximum size of the target is smaller than a half of the size of the frame. It means that the maximum size of the image f is equal to the size of the frame in video sequence.