Face Detection and Recognition using CCTV via Android
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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 [email protected] [email protected] [email protected] [email protected] [email protected] 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.
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Transcript of Face Detection and Recognition using CCTV via Android
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
[email protected] [email protected] [email protected] [email protected]@gmail.com
Abstract — This paper proposed a system of “FACEDETECTION AND RECOGNITION USING CCTVSURVEILLANCE 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 difficultFor 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 theimages from live streaming CCTV footage and comparing it with the criminal database and displays particularinformation if the image matches with the database in whichusing 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 clutteredimages. It has numerous applications in areas like surveillanceand security control systems, content-based image retrieval,video conferencing and intelligent human computer interfacesFace 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 humanfaces. It is analogous to image detection in which the image ofperson is matches with the image stores in database.Face Tracking plays an important role in today’s world. It hasmany real-world applications like human/computer interface,
surveillance, authentication and video indexing. Howeverresearch in this field is still young. Interactive FaceRecognition (IFR) can benefit the areas of: Law Enforcement,Airport Security, Access Control, Driver's Licenses &Passports, Homeland Defense, Customs & Immigration andScene Analysis.
II. SYSTEM MODEL
Figure 1. Basic Architecture II.1.Capture ImageThis is the primary step of system which take the imagesusing CCTV in jpg format and provide to face detection phaseunit.
II.2.Detect the faceInthis step it takes the input from the CCTV and detects theface portion from image and extracts it.
II.3.Face RecognitionIt extract the important facial patches such as eyes, lose, andlips 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 imageIt compare the input images with the images which are alreadystored in database. II.5.Display It displays the information of the person in the image if thematch is found in the database. Else no match found isdisplayed.
III. Proposed System
FACE DETECTION AND RECOGNITION USING CCTVSURVEILLANCE via ANDROID is proposed to identifiedand recognized the criminal,so Eigenvalue/Eigenfaces is usedin system . This values are diffent and particular for differentfaces which can be used to identified and recognized face ofcriminal.
IV. Conclusion
In This paper we have presented Face Detection andRecognition using CCTV Surveillance. User can DetectCriminals by using this smart system of Android. ThisSoftware can play a major role in preventing many criminalactivities 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
