The purpose of this paper is to present the possibilities associated with the use of remote sensing methods in identifying human emotional states, and to present the results of the research conducted by the authors in this field. The studies presented involved the use of advanced image analysis to identify areas on the human face that change their activity along with emotional expression. Most of the research carried out in laboratories is limited to the segmentation of the analyzed image, and then studying the changes in specific segments, so we have to deal with averaging information which is contained in the processed image. In the following sections we have described a method of acquiring and processing images of the human face, recorded by the Phantom MIRO 310 camera, for presenting specific states of the human brain while the emotional state is changing. Each emotion was expressed for 2 seconds. The resulting images are of a high technical quality and represent a series of frames recorded at the speed of 1000 frames per second. The method presented is based on assumptions drawn from Particle Image Velocimetry (PIV) which is well known in the field of fluid dynamics. The tracking algorithm lets us trace all identified objects on the human face and calculate different statistics. Thus we may identify some patterns created by moving objects on the face, which might be useful in the process of recognition of different emotional states.