1. The A.M.Prokhorov General Physics Institute (GPI) of the Russian Academy of Sciences was founded in 1983 by Nobel Prize winner Academician A.M.Prokhorov. The Institute is a complex, multi-discipline research body oriented at general physics. Its principal research areas encompass quantum electronics and optics, solid state physics, micro- and nanoelectronics, integral and fiber optics, plasma physics and photoelectronics, radio physics and acoustics, laser medicine, etc. The Natural Sciences Center (NSC) of GPI consists of several departments engaged in basic research and its application in high technology markets. The Diode Laser Spectroscopy Department is a pioneer and a leader of diode laser spectroscopy in Russia, and its achievements are well known throughout the world. The Department is one of a few world centers that handles all ranges of research, ranging from high resolution infrared spectroscopy and diode lasers investigations to applications and instrumentation. This includes research into the use of high sensitivity, high resolution gas analysis in medicine, environment protection, fiber optics and image processing, and mathematical simulation and data acquisition.

2. Introduction. Unfortunately, almost all video surveillance systems cannot comply with the modern requirements due to the following reasons: Their performance completely depends on an operator. An operator is responsible almost for the whole scope of intellectual functions in common video surveillance systems. It means that the more cameras are used in the system, the more staff should service them, which sharply limits the potential development of surveillance systems, for money- saving reasons, in particular. Moreover, a man cannot cope with the diversity of various scenes and gets tired very fast, which deteriorates the quality of the system as a whole. The available video surveillance systems are low-functional. They can offer just only multichannel recording and a number of computer-based service functions.

3. Introduction.(2 continue) The recently boosted function of movement detection is applicable only when used in empty storehouses because under real light conditions it gets immediately blocked by numerous false alarm signals.

4. Introduction.(3 continue) From the user’s point of view the ideal video surveillance system should be completely different. At least, it should involve the following possibilities: The availability of the computer-oriented system. The development of the video systems with computer vision. Only the computer can process vast data unceasingly. Moreover, computer vision is much cheaper and more reliable than human one. The reduction in the number of operators involved in servicing the video surveillance system makes possible the higher reliability and cheaper system equipment. Fundamentally new functional opportunities. Video systems should possess high-power intellectual functions of object and situation detection, image analysis, expert functions etc. System incrementation. Video surveillance technology should be network, which would allow creating high-power distributed video systems with the unique concept of control and data processing.

5. Futures of MORS Video system MORS being developed on the basis of computer vision technology should comprise all the above possibilities. The surveillance system must perform the following functions: - to reconstruct the 3-dimensional image of the observation area by its plane images in the frames of the cameras in a semi-automatic mode; - to detect new objects within the observation area in a real- time mode; - to survey their movements (provided that their trajectories are intercrossed and their images are merged in the frames of the cameras); - to determine the sizes of the objects and classify them by these parameters; - to reconstruct a 3-dimensional image of objects in space by their plane images in the frames of the cameras; - to identify objects by their images stored in the library.

6. Futures of SMART VIDEO This system can solve the following problems: - to detect new objects within the area under surveillance (using a base frame); - to detect movement (using contiguous frames); - to estimate the sizes of a new object; - to determine its coordinates and, hence, whether it is located in a restricted area or not.

7. SMART VIDEO (multi object tracking)

8. SMART VIDEO (show object trajectory )