try:
                scale = yPosEnd/height
                dim = (int(height*scale), int(width*scale))
                resized = cv2.resize(img1, dim, interpolation=cv2.INTER_AREA)
                resized_height, resized_width, resized_depth = resized.shape
                roi = vis[int(yPos - resized_height / 2):int(yPos - resized_height / 2 + resized_height ), int(xPos - resized_width / 2):int(xPos - resized_width / 2 + resized_width)]

                img2gray = cv2.cvtColor(resized,cv2.COLOR_BGR2GRAY)
                ret, mask2 = cv2.threshold(img2gray,240,255,cv2.THRESH_BINARY)
                mask2_inv = cv2.bitwise_not(mask2)

                img1_bg = cv2.bitwise_and(roi,roi,mask = mask2)
                img2_fg = cv2.bitwise_and(resized,resized,mask = mask2_inv)

                dst = cv2.add(img1_bg,img2_fg)

                vis[int(yPos - resized_height / 2):int(yPos - resized_height / 2 + resized_height ), int(xPos - resized_width / 2):int(xPos - resized_width / 2 + resized_width)] = dst
                lista_obserwowanych.append(newtw)
            except:
                print track_box