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FACE DETECTION AND RECOGNITION
USING CCTV SURVEILLANCE via ANDROID
Divyanshu Parkhe,Anurag Joshi, Kunal Kale,Komal sarode,Pooja Bhoyar
Nuva College Of Engg. & Tech., Nagpur,Maharashtra
divyanshu.parkhe@gmail.com anuraagjoshi6@gmail.com kunalkale11@gmail.com sarode193komal@gmail.com
pooja.bhoyar05@gmail.com
Abstract — This paper proposed a system of “FACE
DETECTION AND RECOGNITION USING CCTV
SURVEILLANCE via ANDROID” mainly focus on Security
& Surveillance to protect the Nation and detect the intruder.
Nowadays facing number of criminal activity in almost
world , the intruder/ criminal can be track using CCTV
cameras / footage but many time the face of criminal not
detected properly and this situation create lot of difficulty so
we can use Face Recognition system to recognize the face.
We can work on Face Tracking system in which we can
easily track criminal/intruder through CCTV cameras &
also we can make an android application for tracking.
As a crime is going at its edge, it has become difficult
For cops to handle this crimes and track the criminals or
other suspected.
So this paper proposed a system of tracking criminals using
CCTV Camera via Android Application. This system
recognizes the criminal by taking the
images from live streaming CCTV footage and comparing it
with the criminal database and displays particular
information if the image matches with the database in which
using Android application for ease.
Keywords-DBMS,CCTV, Image processing, Android
I. INTRODUCTION
Face Tracking is a computer technology being used in a
variety of applications that identifies human faces in digital
images.
Face Tracking also refers to the psychological process by
which human locate and attend to faces in a visual scene.
Face Tracking locates and segments face regions in cluttered
images. It has numerous applications in areas like surveillance
and security control systems, content-based image retrieval,
video conferencing and intelligent human computer interfaces
Face Tracking can be regarded as a specific case of Object
Class Detection.
In object class detection , the task is to find the location and
sizes of all objects in an image that belong to a given class.
Face Tracking algorithms focus on the tracking frontal human
faces. It is analogous to image detection in which the image of
person is matches with the image stores in database.
Face Tracking plays an important role in today’s world. It has
many real-world applications like human/computer interface,
surveillance, authentication and video indexing. However
research in this field is still young. Interactive Face
Recognition (IFR) can benefit the areas of: Law Enforcement,
Airport Security, Access Control, Driver's Licenses &
Passports, Homeland Defense, Customs & Immigration and
Scene Analysis.
II. SYSTEM MODEL
Figure 1. Basic Architecture
II.1.Capture Image
This is the primary step of system which take the images
using CCTV in jpg format and provide to face detection phase
unit.
II.2.Detect the face
Inthis step it takes the input from the CCTV and detects the
face portion from image and extracts it.
II.3.Face Recognition
It extract the important facial patches such as eyes, lose, and
lips in form of a pixel values
Capture Image Detect The Face
Face Recognition
Extarction Of Faces
DB With Info.&
Image Loc.
Compare With
Image
If Matched Display
The Info.
II.4.Compare with image
It compare the input images with the images which are already
stored in database.
II.5.Display
It displays the information of the person in the image if the
match is found in the database. Else no match found is
displayed.
III. Proposed System
FACE DETECTION AND RECOGNITION USING CCTV
SURVEILLANCE via ANDROID is proposed to identified
and recognized the criminal,so Eigenvalue/Eigenfaces is used
in system . This values are diffent and particular for different
faces which can be used to identified and recognized face of
criminal.
IV. Conclusion
In This paper we have presented Face Detection and
Recognition using CCTV Surveillance. User can Detect
Criminals by using this smart system of Android. This
Software can play a major role in preventing many criminal
activities from happening. And can be able to trace Intruder/
Criminal.
REFERENCES
[1] www.google.com
[2]http://www.ijarcsse.com
[3]http://scholar.google.co.in

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Face Detection and Recognition using CCTV via Android

  • 1. FACE DETECTION AND RECOGNITION USING CCTV SURVEILLANCE via ANDROID Divyanshu Parkhe,Anurag Joshi, Kunal Kale,Komal sarode,Pooja Bhoyar Nuva College Of Engg. & Tech., Nagpur,Maharashtra divyanshu.parkhe@gmail.com anuraagjoshi6@gmail.com kunalkale11@gmail.com sarode193komal@gmail.com pooja.bhoyar05@gmail.com Abstract — This paper proposed a system of “FACE DETECTION AND RECOGNITION USING CCTV SURVEILLANCE via ANDROID” mainly focus on Security & Surveillance to protect the Nation and detect the intruder. Nowadays facing number of criminal activity in almost world , the intruder/ criminal can be track using CCTV cameras / footage but many time the face of criminal not detected properly and this situation create lot of difficulty so we can use Face Recognition system to recognize the face. We can work on Face Tracking system in which we can easily track criminal/intruder through CCTV cameras & also we can make an android application for tracking. As a crime is going at its edge, it has become difficult For cops to handle this crimes and track the criminals or other suspected. So this paper proposed a system of tracking criminals using CCTV Camera via Android Application. This system recognizes the criminal by taking the images from live streaming CCTV footage and comparing it with the criminal database and displays particular information if the image matches with the database in which using Android application for ease. Keywords-DBMS,CCTV, Image processing, Android I. INTRODUCTION Face Tracking is a computer technology being used in a variety of applications that identifies human faces in digital images. Face Tracking also refers to the psychological process by which human locate and attend to faces in a visual scene. Face Tracking locates and segments face regions in cluttered images. It has numerous applications in areas like surveillance and security control systems, content-based image retrieval, video conferencing and intelligent human computer interfaces Face Tracking can be regarded as a specific case of Object Class Detection. In object class detection , the task is to find the location and sizes of all objects in an image that belong to a given class. Face Tracking algorithms focus on the tracking frontal human faces. It is analogous to image detection in which the image of person is matches with the image stores in database. Face Tracking plays an important role in today’s world. It has many real-world applications like human/computer interface, surveillance, authentication and video indexing. However research in this field is still young. Interactive Face Recognition (IFR) can benefit the areas of: Law Enforcement, Airport Security, Access Control, Driver's Licenses & Passports, Homeland Defense, Customs & Immigration and Scene Analysis. II. SYSTEM MODEL Figure 1. Basic Architecture II.1.Capture Image This is the primary step of system which take the images using CCTV in jpg format and provide to face detection phase unit. II.2.Detect the face Inthis step it takes the input from the CCTV and detects the face portion from image and extracts it. II.3.Face Recognition It extract the important facial patches such as eyes, lose, and lips in form of a pixel values Capture Image Detect The Face Face Recognition Extarction Of Faces DB With Info.& Image Loc. Compare With Image If Matched Display The Info.
  • 2. II.4.Compare with image It compare the input images with the images which are already stored in database. II.5.Display It displays the information of the person in the image if the match is found in the database. Else no match found is displayed. III. Proposed System FACE DETECTION AND RECOGNITION USING CCTV SURVEILLANCE via ANDROID is proposed to identified and recognized the criminal,so Eigenvalue/Eigenfaces is used in system . This values are diffent and particular for different faces which can be used to identified and recognized face of criminal. IV. Conclusion In This paper we have presented Face Detection and Recognition using CCTV Surveillance. User can Detect Criminals by using this smart system of Android. This Software can play a major role in preventing many criminal activities from happening. And can be able to trace Intruder/ Criminal. REFERENCES [1] www.google.com [2]http://www.ijarcsse.com [3]http://scholar.google.co.in