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Video Detection Solutions
Improving road and tunnel
safety via incident
management:
implementing a video image
processing system
Benjamin Schiereck, Sales Manger Traficon Germany
THE Reference in Traffic Video Detection
Outline of Presentation
• 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
THE Reference in Traffic Video Detection
Introduction
Time
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Basic Functions of Incident Management
1. Traffic Monitoring,
Prevention
2. Incident Detection
3. Incident Verification
4. Driver Information
5. Incident Clearing
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Traffic Monitoring – Prevention
• Most important is safe infrastructure
• Monitor traffic situation, speed and
occupancy using video cameras.
• Set appropriate speeds on VMS panels
• Fast information about the incident
• Fast reaktion on incident
– e.G.. Closing the Tunnel
All about time
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Traffic Monitoring on Highway
using cameras!!
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Traffic Monitoring in Tunnel
•
•
Access control, situation in the Tunnel
Monitoring actions with video
1.
2.
3.
4.
5.
•
•
Slow driving vehicle
Traffic jam in tunnel
Speed differences
Occupancy
Intervehicle distances
VMS Panels
Ventilation control
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Detection Rate
Incident Detection with respect to dedicated camera positions for incident detection
Indoors
(tunnel)
Outdoors
Time to detect
 98
 95
10 sec
 99,9
 99,5
2 sec
 95
 95
< 1 sec
flow speed (maximal error)
 10 %
 10 %
false alarm frequency
(per camera / per day)
 0,025
 0,15
stopped vehicles (%)
queue (%)
inverse direction (%)
Data collection for Outdoors Applications and for dedicated camera positions for data
collection
Counti
ng
Speed
Queue
> 98 %
> 95% with errors < 5%
99%
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Direct Incident detection,
Time to Detect, Time to Verify
1. Importance to avoid traffic jams
Verona, ITALY
Foix, FRANCE
2. Importance to avoid secondary accidents
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Incident Management
Video Based Incident Detection
Verona, ITALY
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Video Image Processing Functions
•
•
•
•
•
•
•
•
Stopped vehicle
Slow moving
Counting
Inverse direction
Distances between cars
Fallen objects
Pedestrians
Smoke
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System Architecture
CAMERA
VIP
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TMS
Case 1: Fire in a Tunnel – Oslo 1996
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Video Image Processing Methodology
Evolution of Fires of Vehicles in and around Tunnels
Type of
Vehicle
Stopped
Vehicle
Visible
Smoke
First
Visible
Flames
Global
Fire
Car
0 min.
3 min.
5 min.
8 min.
Van
0 min.
5 min.
8 min.
15 min.
0 min.
Fast
Fast
Fast
0 min.
10 min.
12 min.
20 min.
Engine fire
(2%)
Brake Fire
(98%)
Data from Escota France,1999
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Case 2: ORESUND - Situation
• 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.
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ORESUND : Other considerations
•
•
•
•
Detection Rate
False Detections
False Detection Cost
Reliability
Öresund
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Redundancy
Figure1: Distance between two cameras set at 100 metres without
overlapping field of view
C1
100m
C2
100m
C3
C4
100m
C5
100m
100m
C6
100m
Figure 2: Distance between two cameras set at 60 metres with
overlapping field of view
C1
C2
60m
C3
60m
C4
60m
60m
C5
60m
C6
60m
60m
120m
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Video Detection examples:
Tunnel Applications
Stopped Vehicle Detection
Incident Detection
Inverse Direction Detection
Pedestrian Detection
Smoke Detection
Object Detection
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Video Detection examples:
Highway & Bridge Applications
Stopped Vehicle Detection
Inverse Direction Detection
at night
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Summary
Basic Advantages of
Video Based Incident Detection:
•
•
•
•
•
•
Fast incident detection rate
Visual verification
High system reliability
Easy to install and modify
Low false detection rate & cost
Low overall lifetime cost
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Conclusions
• Video detection works reliable.
• Video detection is the fastest way to detect.
• Video detection has the lowest false alarms rate.
• Video detection offers immediate verification
via CCTV.
•
AID, Automatic Incident detection is the best
detection method for Incident management
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Why use other incident detection
if you will verify by video?
Just use Video Incident detection
Directly
Thank You
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Tel Germany +49 (0) 5446 – 20 65 32
E-mail: [email protected]
www.traficon.com
THE Reference in Traffic Video Detection