Author Topic: A Novel comprehensive method for real time Video Motion Detection Surveillance  (Read 2010 times)

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Author : Sumita Mishra, Prabhat Mishra, Naresh K Chaudhary, Pallavi Asthana
International Journal of Scientific & Engineering Research, IJSER - Volume 2, Issue 4, April-2011
ISSN 2229-5518
Download Full Paper - http://www.ijser.org/onlineResearchPaperViewer.aspx?A_Novel_comprehensive_method_for_real_time_Video_Motion_Detection_Surveillance.pdf

Abstract This article describes a comprehensive system for surveillance and monitoring applications. The development of an efficient real time video motion detection   system is motivated by their potential for deployment in the areas where security is the main concern. The paper presents a platform for real time video motion detection and subsequent generation of an alarm condition as set by the parameters of the control system. The prototype consists of a mobile platform mounted with RF camera which provides continuous feedback of the environment. The received visual information is then analyzed by user for appropriate control action, thus enabling the user to operate the system from a remote location. The system is also equipped with the ability to process the image of an object and generate control signals which are automatically transmitted to the mobile platform to track the object.

Index Terms Graphic User Interface, object tracking, Monitoring, Spying, Surveillance, video motion detection.

Introduction                                                                   
Video Motion Detection Security Systems (VMDss) have been available for many years. Motion detection is a feature that allows the camera to detect any movement in front of it and transmit the image of the detected motion to the user.  VMDss are based on the ability to respond to the temporal and/or spatial variations in contrast caused by movement in a video image. Several techniques for motion detection have been proposed, among them the three widely used approaches are background subtraction optical flow and temporal differencing. Background subtraction is the most commonly used approach in present systems. The principle of this method is to use a model of the background and compare the current image with a reference. In this way the foreground objects present in the scene are detected. Optical flow is an approximation of the local image motion and specifies how much each image pixel moves between adjacent images. It can achieve success of motion detection in the presence of camera motion or background changing. According to the smoothness constraint, the corresponding points in the two successive frames should not move more than a few pixels. For an uncertain environment, this means that the camera motion or background changing should be relatively small. Temporal differencing based on frame difference, attempts to detect moving regions by making use of the difference of consecutive frames (two or three) in a video sequence.

This method is highly adaptive to dynamic environments hence it is suitable for present application with certain modification. Presently advanced surveillance systems are available in the market at a very high cost. This paper aims at the low cost efficient security system having user friendly functional features which can also be controlled from a remote location. In addition the system can also be used to track the object of a predefined color rendering it useful for spying purposes.

2 HARDWARE SETUP
The proposed system comprises of two sections. The transmitter section consists of a computer , RS232 Interface, microcontroller, RF Transmitter, RF video receiver. The Receiver section consists of a Mobile Platform, RF receiver, microcontroller, RF camera, motor driver, IR LEDs. The computer at the transmitter section which receives the visual information from camera mounted on mobile platform works as control centre. Another function of control centre is to act as   the web server that enables access to system from a remote location by using internet. The control centre is also responsible for transmitting the necessary control signal to the mobile platform.

3 MODES OF OPERATION
The system can operate in four independent modes.

3.1 PC Controlled Mode
In this mode the mobile platform is directly controlled by control centre using a visual GUI program developed using Microsoft Visual Studio 6.0(Visual Basic programming language). The user can control the mobile platform after analyzing the received video.

3.2 Internet Controlled Mode

This mode is an extension to the PC Controlled mode
where client-server architecture is incorporated. This mode enables an authorized client computer to control the mobile platform from a remote location via internet. Client logs onto the control centre which provides all control tools for maneuvering the mobile platform. Instant images of the environment transmitted from the camera mounted on the mobile platform are used to generate appropriate control signals.

3.3 Tracing Mode
In this mode the system is made to follow the object whose color information has been stored at the control centre in program developed in MATLAB. Basically the program performs the image processing of the object and generates the control signals in order to make the mobile platform to trace the object.

3.4 Motion Detection Mode
In this mode the platform is made to focus on a particular object whose security is our concern. The mobile platform transmits the visual information of the
object to the control centre for analysis. A Program developed using MATLAB at the control centre is then used to analyze four consecutive and based on this analysis a security alarm is raised if required.


4. DEVELOPMENT OF CONTROLLING    PROGRAMS
4.1 Program for mode 1

This program has been developed in Microsoft Visual Studio 6.0(Visual Basic programming language).It consists of 12 buttons, 2 checkboxes, 1 video box, 1 picture
box. These 16 buttons are configured as:
   7 buttons to control the directions of the  platform.
   2 checkboxes for controlling lights and night vision respectively.
   2 buttons for camera control (start, stop).
   2 buttons for capturing video.
   1 button for capturing snapshot
The video box displays the video using VideoCapPro ActiveX Control, received from the camera mounted on the mobile platform and similarly the picture box displays the snapshot taken when the button for capturing the snapshot is depressed. The program transmits the control signals via serial port using MSCOMM (Microsoft Common Control) component.

Read More: http://www.ijser.org/onlineResearchPaperViewer.aspx?A_Novel_comprehensive_method_for_real_time_Video_Motion_Detection_Surveillance.pdf