THE Reference in Traffic Video Detection THE Reference in Traffic Video Detection Benjamin Schiereck, Sales Manger Traficon Germany Improving road and Improving road and tunnel safety via tunnel safety via incident management: incident management: implementing a video image implementing a video image processing system processing system Video Detection Video Detection Solutions Solutions
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THE Reference in Traffic Video Detection Benjamin Schiereck, Sales Manger Traficon Germany Improving road and tunnel safety via incident management: implementing.
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THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
Benjamin Schiereck, Sales Manger Traficon Germany
Improving road and tunnel Improving road and tunnel safety via incident safety via incident management:management: implementing a video image implementing a video image processing systemprocessing system
Vid
eo D
etec
tion
Sol
utio
nsV
ideo
Det
ectio
n S
olut
ions
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
• Introduction• Incident Management: Video Based Incident
Detection Basic Functions of Incident Management Video Image Processing Functions, Methodology & System
architecture Detection rate Automatic Incident Detection system Cases (Eye on fire in a tunnel) Typical Freeway and Tunnel AVI files
• Summary• Conclusions
Outline of PresentationOutline of Presentation
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
More Traffic
More Accidents
&
More Cars
Involve
d
Time
More Secondary
Accidents
&
Long Traffic Ja
ms
SOLUTION?
INCID
ENT
INCID
ENT
MANAGEMENT
MANAGEMENT
IntroductionIntroduction
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
1. Traffic Monitoring, Prevention
2. Incident Detection
3. Incident Verification
4. Driver Information
5. Incident Clearing
Basic Functions of Incident ManagementBasic Functions of Incident Management
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
Video Image Processing FunctionsVideo Image Processing Functions
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
System Architecture System Architecture
CAMERA VIP T M S
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
Case 1: Fire in a Tunnel – Oslo 1996Case 1: Fire in a Tunnel – Oslo 1996
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
Data from Escota France,1999
Type of Vehicle
Stopped Vehicle
Visible Smoke
First VisibleFlames
Global Fire
Car 0 min. 3 min. 5 min. 8 min.
Van 0 min. 5 min. 8 min. 15 min.
Engine fire (2%)
0 min. Fast Fast Fast
Brake Fire (98%)
0 min. 10 min. 12 min. 20 min.
Evolution of Fires of Vehicles in and around Tunnels
Video Image Processing MethodologyVideo Image Processing Methodology
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
• Because this is quite a long tunnel at under sea level, the owner requested a highly redundant system with a very high detection rate, high reliability (MTBF) and a very high level of service (% Uptime).
• This was one of the reasons why the detection cameras were installed at 60 metres distance, but programmed to cover at least 120 m.
Case 2: ORESUND - SituationCase 2: ORESUND - Situation
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
ORESUND : Other considerationsORESUND : Other considerations
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
100m 100m 100m 100m 100mC1 C2 C3 C4 C5 C6
100m
FigureFigure11: Distance between two cameras set at 100 metres without : Distance between two cameras set at 100 metres without overlapping field of viewoverlapping field of view
FigureFigure 2 2: Distance between two cameras set at 60 metres with : Distance between two cameras set at 60 metres with overlapping field of view overlapping field of view
C1 C2 C3 C4 C5 C660m 60m 60m 60m 60m
120m
60m 60m
RedundancyRedundancy
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection
Video Detection examples: Tunnel ApplicationsVideo Detection examples: Tunnel Applications
Smoke Detection
Object Detection
Pedestrian Detection
Inverse Direction Detection
Incident Detection
Stopped Vehicle Detection
THE Reference in Traffic Video DetectionTHE Reference in Traffic Video Detection