A J2ME-Based Wireless Intelligent Video Surveillance System

1. A J2ME-Based Wireless
Intelligent Video Surveillance
System
A.M.Mattash

2. Contents
 Introduction
 J2ME
 Image processing
 Background subtraction
 System alert
 System architecture
 Hardware
 Advantages
 Conclusion

3. Introduction
 Personalized and intelligent use of appliances for the
security purpose are necessities in our life today.
 These appliances tend to be special-purpose, limited-
resource, network-connected devices, such as Cell
phones.
 A low cost intelligent wireless security and
monitoring solution using moving object recognition
technology is presented.

4. J2ME

5. Java Editions
Java 2 Platform
Java2 Java2 Java2
Standard Edition Enterprise Edition Micro Edition
(J2SE™) (J2EE™) (J2ME™)
Standard desktop & Heavy duty server Small & memory
workstation applications systems constrained devices

6. Java Editions
 Each edition defines different sets of class
libraries.
 J2ME provides a robust, flexible environment
for application running on a broad range of
other deceives
J2EE
J2SE
J2ME

7. J2ME Core Concepts
 Configuration
 Minimum platform
J2ME
required for a Profile
group of devices
 Profile J2ME
 Addresses specific Libraries
needs of a certain
Java Language
device family
 Optional Packages Java Virtual Machine
Set of APIs in support of
additional, common Host Operating System
behaviors. E.g. Mobile
Media API.

8. Image processing

9. Statistics
 Mean
 Center of gravity of the object
N N
1 1
x mean xi y mean yi
N is the number
N i 1
N i 1 of object pixels
 Variance
 The Variance measures the variations of the object-pixels’
positions around the center of gravity
N N
1 2 1 2
x var ( xi x mean ) y var ( yi y mean )
N i 1 N i 1

10. Statistics
 Standard deviation: sigma ( ) x sigma x var
 How to use it
 ”Automatic” thresholding based on statistics
 Example: the color of the hand
 Algorithm:
 if: THmin < pixel < Thmax
 then: hand pixel
 else: non-hand pixel
 Training
 Average color of hand: mean
 Variations in the color of the hand: variance =>
 Use statistics: THmin = mean-2 and THmax =
mean+2

11. Segmentation in Video
 Videos are Image Sequences over Time
x
• 10 Images
• An image is a function
t f ( x, y , t ) ft ( x , y )
y • At each time step two
have an image f ( x , y )
• Frame rate = the number
of images per second

12. Segmentation using Motion
 Assuming that only the object is moving =>
motion can be used to find the object
 Motion detection
We are using Background subtraction algorithm to
detect moving object.

13. Background Subtraction

14. Background Subtraction
 Uses a reference background image for
comparison purposes.
 Current image (containing target object) is
compared to reference image pixel by pixel.
 Places where there are differences are detected
and classified as moving objects.
Motivation: simple difference of two images
shows moving objects

15. a. Original scene b. Same scene later
Subtraction of scene a from scene b Subtracted image with threshold of 100

16. Background Subtraction
 Foreground is moving, background is stable
 Algorithm
1. Capture image containing background
2. Capture N images and calculate the average
background image ( Background template)
3. Subtract image (difference = motion)
4. Threshold
5. Delete noise

17. System Alert

18. ALERT RECEIVED
Alert sent to predefined number
System sends alert (SMS, MMS)

19. System Alert
 When the system detect moving object, it sets
the alert on the Cell phone
 The system create Message connection,
gathering the information required ( address ,
message text..)
 Then the message is sent to notify the user

20. System architecture
 If the difference
between real-time Real Time
frame and template Frame Capture
reaches predefined
threshold, moving Background
Subtraction Algorithm
object are considered
to appear
SMS Alert / MMS
Alert

21. Hardware
 Mobile phone based on J2ME
 Mobile phone with camera

22. Advantages
1. Low cost surveillance system
2. Little memory consumption
3. Easy to operate
4. Mobility is presented
5. Available to wide rang of mobile phones

23. conclusion
 This approach is to develop a system which
will enable the user to apply security with
minimum cost and affords. The system should
be able to detect any theft action and alert the
user in minimum time.

24. References
 IEEE DOI 10.1109/CISP.2008.235
 The complete reference J2ME, McGRAW
HILL,2006
 wifiplanet.org.
 http://ieeexplore.ieee.org

25. THANK YOU!
Special thanks to Mr. U.B.Kodgule sir