1. VIDEOSORVEGLIANZA
Profili sociologici, criminologici, culturali e giuridici nell’ottica smart city Milano 24 Maggio, Università Cattolica del Sacro Cuore
Videosorveglianza: la ricerca in Visione Artificiale per il riconoscimento automatico di persone ed eventi
Prof. Rita Cucchiara, Università di Modena e Reggio Emilia, Direttore del centro Softech ICT
Rita Cucchiara,
Università di Modena e Reggio Emilia,

2. Welcome in Modena -University of Modena and Reggio Emilia
The Second Short Spring School in Surveillance
is organized by
-University of Modena and Reggio Emilia
-Softech-ICT Interdip. Research Center in ICT
-Dipartimento di Ingegneria Enzo Ferrari
- ImageLab
Co-Sponsored by
- Fondazione Cassa di Risparmio di Modena
- GIRPR (Italian chapter of IAPR)

3. UNIMORE: Where we are… Università di Modena e Reggio Emilia
Emilia Romagna,
Italia
Dipartimento di Ingegneria
“Enzo Ferrari”
ImageLab

4. WHY S5?
A research School in (computer vision and pattern recognition for) Video Surveillance. Mainly a school for researchers few hot selected topics Short (but intensive) school in Spring period A Second edition…

5. S4 the 2011 edition Multicamera & applications Tracking
Security and Forensics
Face and expression
Architecture and systems
Large Crowd

6. Again Surveillance… Why another (short spring) School in surveillance?
Surely is an industrial gold filed
… is it still an open research problem?

7. The market
The global Intelligent Video Surveillance (IVS) & Video Analytics (VA) industry revenues*
totaled $13.5 billion in 2012,
and are estimated to reach $39 billion in 2020.
The rapid market growth is driven by the following dynamics:
Increased use of video surveillance.
Migration from analog to digital cameras and to IP based cameras.
Technology maturity. Video analytics algorithms, processors, applications and products underwent a decade of technological evolution to intelligent video processing, based on advancements in image processing, enabling automatic detection of signatures detection and identification.
Cost reduction of video analytic systems. Driven by the falling prices of image processing DSPs and communication systems. Cost-performance of new edge-based video analytics DSP technologies (e.g., Intel, Texas Instruments DSPs).
From the "Intelligent Video Surveillance, VCA & Video Analytics: Technologies & Global Market – "

8. The market
Human operators entail high cost & high rate of overlooked events. Real time analysis of video images and recorded footage is a need that can hardly be answered effectively by human operators, and manpower cost. Furthermore, human operators fatigue and boredom cause a high rate of overlooked events. It takes IVS, VCA and VA to process trillions of video surveillance-hours generated annually. By 2011 over 165 million video surveillance cameras installed worldwide captured 1.4 trillion video-hours. the investing growth of 9-11% year , captured video surveillance will reach approximately 3.3 Trillion video-hours in A hypothetical analysis assuming that 20% of the most critical video stream should have been reviewed by human operators, results in a (hypothetical) need to employ (by 2011) a workforce of over 100 million operators (working 8 hours daily, 300 days a year). Intelligent video surveillance and video analytics with mature technology have attracted a lot of attention. ---the global market* will triple by 2020.

9. THE RESEARCH
1998 the first workshop on AVSS (advanced video-based surveillance system) in Genoa 2000 The first IEEE Transaction PAMI Special issue on video surveillance 2003 the first IEEE conference AVSS ….. FIFTTEEN YEARS OF RESEARCH

10. Some statistics
“Video Surveillance” : Google scholar items, IEEEXplore 6407 items from IEEEXplore papers with “video surveillance” keyword
2010
2011
2012
surveillance
863
867
768
analytics 23 27 46

11. statistics
IEEE conference papers with video surveillance and ……

12. statistics
IEEE journal papers with video surveillance and ……

13. surveillance
1) A growing interest in PEOPLE surveillance 2) From SECURITY to SOCIAL and WELLBEING 3) A research interest in computer vision AND learning
2010
2011
2012
traffic
117
104 86
people 83 85 93

14. 2000 VideO Surveillance Research Acquisition Detection Tracking
Single camera
 Multiple cameras
VideO Surveillance
Detection
Moving object detection
Single object/people
 Multiple targets, cluttered, occluded..
Tracking
Linear prediction
Generative models
Stocastic prediction
2000
Research
Understanding
Purposive

15. PEOPLE Surveillance in the new decade
Acquisition
PEOPLE Surveillance in the new decade
Detection
&
Tracking
SPATIO-TEMPORAL
REASONING
Learning
&
Inferring
BIG DATA
ANALYSIS
2010
Research
Searching
&
Recognizing
HUMAN
FEEDBACK

16. People Analysis IS PERVASIVE
From Security
Surveillance: Real time detection, Border, Zone control, Activity monitoring, Traffic, urban control…
Safety: traffic-automotive control; crowd monitoring, home, working area control
Forensics: Video Mining, Identity assessment, Likelihood ratio support
To Multimedia
Video analysis, broadcasting analysis, Digital Library annotation, Sport action recognition, Human Interaction, Gaming
To (Social) Wellbeing
Retail analysis, Comfort in architecture Design, Building Automation, Healthcare, Entertainment, Graphics..

17. People ANALYSIS
Many applications.. Same problem:  detect people, their identity and behavior

18. People surveillance: what at IMAGELAB
Detection &Tracking People (and crowd) Detection and Tracking With multisensory data Learning& inferring People Identification and (Ri-)Identification Search & Recognition People Search by similarity
Visual Learning
A-priori Models

19. Surveillance at S5
The topics:
Ci penso io quando avro’ gli abstract

20. SURVEILLANCE aT S5 The lecturers:
Arnold Smeulders  CWI Amsterdam, the Netherlands 
Bernhard Rinner  Alpen-Adria-Universität Klagenfurt, Austria
Francois Bremond  INRIA, France 
Greg Mori  Simon Fraser University, Canada 

21. SURVEILLANCE aT S5 The lecturers:
Horst Bischof  Institute for Computer Graphics and Vision, Inffeldgasse Graz, Austria 
Larry Davis  Institute for Advanced Computer Studies, Univ. of Maryland, USA 
Shmuel Peleg  The Hebrew University of Jerusalem, Israel 

22. SURVEILLANCE aT S5
The attendees

23. THANKS.. http://imagelab.ing.unimo.it Prof. Rita Cucchiara
Dipartimento di Ingegneria Enzo Ferrari
Res. Center SOFTECH-ICT
Università degli Studi di Modena e Reggio Emilia
Imagelab
Andrea Prati [IUAV-Venezia]
Costantino Grana
Roberto Vezzani
Simone Calderara
Giovanni Gualdi , Paolo Piccinini, Daniele Borghesani, Adnan Rashid, Paolo Santinelli
Davide Baltieri , Dalia Coppi, Michele Fornaciari ,Marco Manfredi
VISION-E srl
Rudy Melli, Giuliano Pistoni, Emanuele Perini