SUREILLANCE IN THE DEPARTMENT THROUGH IMAGE PROCESSING

F.Y.P. PRESENTATIONBY

AHMAD IJAZ & UFUK INCE

SUPERVISOR: ASSOC. PROF. ERHAN INCE

AIM OF THE PROJECT AIM OF THE PROJECT TECHNIQUES INVOLVED TECHNIQUES INVOLVED

*MEDIAN FILTERING*BACKGROUND SUBTRACTION*DILATION*CONNECTED COMPONENT ANALYSIS

RECORDED AND DETECTED VIDEOSRECORDED AND DETECTED VIDEOS

CODESCODES

OUTLINE

AIMIn this project we will be processing images taken by a wirelesscamera. Video acquired from the camera will be transferred to thesecurity workstation where the frames extracted from the videosequence will be processed through ‘MALTLAB’.

The main purposes are to process the video and performbackground subtraction on every frame and do connected component analysis for foreground extraction.

WIRELESS CAMERAUSED IN OUR FYP

*High powered (1500 ft. range)*2.4Ghz wireless weatherproof video/audio security IR installed allows 60 ft. viewing in total darkness.*4-channel receiver and included software allows for direct USB connection to computer. *36 high power IR illuminators

and Sony 1/3” CCD, 430 LOR *Features auto scan mode for sequencing up to 4 cameras.

Median filtering according to is a nonlinear operation in image processing to reduce "salt and pepper" noise.

Each output pixel contains the median value in the m-by-n neighborhood around the corresponding pixel in the input image. medfilt2 pads the image with 0's on the edges, so the median values for the points within [m n]/2 of the edges might appear distorted.

MEDIAN FILTERING

EFFECT OF MEDIAN FILTERING

BACKGROUND SUBTRACTION

One of the most important concepts in our project is background subtraction. Background subtraction, takes each frame in the video and subtracts it from a static background that is known prior to the extraction process.

Z = imsubtract (X,Y) subtracts each element in array Y from the corresponding element in array X and returns the difference in the corresponding element of the output array Z. X and Y are real.

BACKGROUND We have taken first 5 frames without any person and added all

those 5 frames and found out the average by dividing it by 5. Now this resultant frame will be considered our background frame from which we will subtract all other coming frames to find out the foreground objects

BACKGROUND SUBTRACTION

BBIINNAARRYY IMAGE ( IMAGE (THRESHOLD GRAY IMAGETHRESHOLD GRAY IMAGE))

RGB IMAGE GRAYSCALE IMAGE AFTER BACKGROUND SUBTRACTION

Apply a Apply a structuring elementstructuring element to an input image, creating an to an input image, creating an output image of the same size.output image of the same size.

CONCEPTS INVOLVED IN DILATIONCONCEPTS INVOLVED IN DILATION

**Structuring Element Structuring Element **Comparing Pixels with its neighborhood in input image Comparing Pixels with its neighborhood in input image **Center Pixel - OriginCenter Pixel - Origin**Size and Shape of the Neighborhood (1’s & 0’s) of Size and Shape of the Neighborhood (1’s & 0’s) of Structuring Element Structuring Element**Padding BehaviorPadding Behavior

DILATION

MORPHOLOGICAL DILATION MORPHOLOGICAL DILATION OF OF BBIINNAARRYY IMAGE IMAGE

Rule in Dilation: Rule in Dilation: Value of the output pixel is the Value of the output pixel is the maximummaximum value value

of all the pixels in the input pixel's of all the pixels in the input pixel's neighborhoodneighborhood

MORPHOLOGICAL DILATION MORPHOLOGICAL DILATION OF OF

GRGRAYAYSCSCALE ALE IMAGEIMAGE

EFFECT OF DILATION EFFECT OF DILATION (1)(1)

EFFECT OF DILATION EFFECT OF DILATION (2)(2)

CONNECTED COMPONENT CONNECTED COMPONENT ANALYSISANALYSIS

Connected components labeling scans a BINARY image and groups its pixels into components based on pixel connectivity

PIXEL CONNECTIVITY

TO TO VISUALIZEVISUALIZE LABELING LABELING PROCESSPROCESS

RETRIEVE THE COORDINATES (ROWS,COLUMN)

EXTRACT (MINR, MINC, MAXR, MAXC) (HEIGHT , WIDTH )

BOX THE PERSON AS LONG AS THE PERSON IS STANDING

OR MOVING INSIDE OUR REGION

MISSION ACCOMPLISHED !!MISSION ACCOMPLISHED !!PERSON HAS BEEN PERSON HAS BEEN

END OF PRESENTATION !!END OF PRESENTATION !!

THANKING ALL OUR HONORABLE INSTRUCTORS

SPECIALLY

OUR SUPERVISOR: ASSOC. PROF. DR. ERHAN INCE THE CHAIR: ASSOC. PROF. DR. AYKUT HOCANIN

LET’S SEE THE LET’S SEE THE RESULTS !! RESULTS !!