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1、When Video Surveillance Meets Biometrics 安控與生物辨識的化學反應Jison Hsu, Fang YehPenpower Technology .ContentsFundamentals of Biometrics and Intelligent Video Surveillance (IVS); A Passage for Biometrics and IVS to Meet; State-of-the-Art Products and Their Makers; Potentials and Market Outlook;Conclusion.Wha
2、t is Biometrics?Biometrics describes a characteristic or a process used for identity recognition, incl. fingerprint, face, iris, voice, signature, hand geometry, vein pattern, signature dynamics, gait dynamics, and many others featured as Natural Password.What is Video Surveillance? Surveillance ena
3、bled by cameras, monitors, recorders; Real-time live display for multi-channels (4, 8, 16, ); 24x7 nonstop recording, playback and search by date/time, motion detection; Surveillance enabled where network is accessible;You can monitor the world at one spot, theoretically. .Questions How can video su
4、rveillance and biometrics be together? Can we take any advantage of such a connection or combination? .Common Daily Scenarios You walked out of your home, recorded by the surveillance cams watching the streets; You were also in the MRTs surveillance videos; Before entering your office, recorded by t
5、he cams at the lobby and also in the elevator; You had your ID card scanned by the door access control and the attendance system; You entered your password to log on to your account.you have just started your day!.From Video Surveillance to Biometrics Video surveillance has entered our daily lives w
6、ithout causing much attention because it is non-intruding; Because of its intruding feature, fingerprint failed to be part of our identity authentication system. However, if surveillance camera can recognize your and others faces.Can we expect a “Camera Guardian or “Guardian Camera ?.Wish List for G
7、uardian Camera Intelligent Video SurveillanceDiscovery of unusual events (loitering, movements against one-way-only patterns, ); Registering clear facial or car plate snapshots while recording the videos of the events; User-friendly Biometric Access ControlYour face is the key to your home/office/cl
8、ub;Make this part of your IVS system, so that you have a camera guardian anywhere you like. .How Far Are We? Smart Cameras:PTZ cameras: omni-directional visibility; Mega-pixel cameras: high-resolution imagery; Infrared cameras: visibility enabled at 0 lux; Computer Vision: Facial recognition: extens
9、ive progress driven by FRVT2002 and 2006; Intelligent video technology: object detection and tracking; car and human recognition; irregular event discovery. .Smart CamPTZ.Smart Cam: High Resolution.Smart Cam: Infrared.Why Faces? The most natural way for humans to know each other; Advantages:No conta
10、ct required, with one of the most commonly available sensors, the cameras; Large amounts of existing data available for background and/or watchlist checks;Deterrent to outsiders, facial images will be captured and stored when approaching to the camera; Easiest among all biometrics for human to verif
11、y results. .Successful CasesQantas aircrew and freq flyers quick access through gates at Sydney and Melbourne airports; Assistance in identifying missing children, Prevent identity fraud: Pakistan has issued RFID passport, ID card with facial feature on a chip; Hanover zoo use facial ID ca
12、rd for freq ticket holders; SmartGate at Sydney Intl airport to run in Feb 2007. .Well-Known Case 1Hijacker suspect Mohamed Atta .Well-Known Case 2 US VISIT (Visitor and Immigrant Status Indication Technology): since 9/30/2004, visitors entering US have index fingers scanned and aphoto taken to auth
13、enticate their travel documents at the port of entry. Get ready for traveling with e-passport. .Well-Known Case 3 In 2001 Super Bowl, the first large scale face recognition surveillance for identifying wanted ones was deployed at Tampa Bay, Florida. A controversy issue raised,“Is it a violation of t
14、he constitutional right to privacy? Response: “a person does not have a reasonable expectation of privacy with regard to physical characteristics that are constantly exposed to the public.An Example of Computer VisionObject Detected Object Tracked Close-up Snapshot.Detection, Tracking, and Close-upO
15、bject Detected Object Tracked Zoom-in view by PTZ cameraCV for Video Surveillance.Plus many others.Sample Applications.Market Size & Growth Potential-IFrost Sullivan 2005, US 176 million in 2005, expected to reach 694 million in 2021.Market Size & Growth Potential-IIIMS Research 2005, UK 76 million
16、in 2004, expected to reach 839 million in 2021.Major Players in Computer Vision ObjectVideo, US, objectvideo. ioImage (Safeguards) , Israel, ioimage. Verint, US, verint. VistaScape, US, vistascape. 3VR Security, US, 3vr. Cernium, US, cernium. and many others. .ObjectVideo A Red Herring 100 Company f
17、or 2004 and 2005 Global Technology Innovation Award, WSJ Excellence in Technology Award, Frost & Sullivan Major Products:VEW: Real-time software for detecting, classifying, and tracking. On-Board: basic version of VEW on a chipset. Forensic: Off-line software, learning from the past, lowering false
18、alarms in the future. .Major Player: Cernium Alert monitor keeps displaying important events, and call-up monitor offers instant replay and close-up check using a PTZ cam. Video server and system server work together to push captured behavior events to the alert console for event display. Alert moni
19、torCall-up monitor.ioImage (Safeguard, US)Specialized in moving object detection and tracking using speed dome (PTZ) cams. .3VR Windows embedded standalone with fast face detection and analysis engine. .Solvable v.s. Challenging for IVS SolvableRestricted area watch, unattended and missing object de
20、tection, trajectory and regularity analysis, speed reading, plate recognition and facial snapshots. ChallengingFar-off object detection with low false alarm rate; Crowded conditions; Uncontrollable parameter (e.g., weather) induced noise;.Solvable Cases.ChallengesBirds Flapping Crowd Far-off objects with c
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