1 / 55

Autoscope Basic Concepts Introduction & Online Resources 20 March 2014

Autoscope Basic Concepts Introduction & Online Resources 20 March 2014. Presented by:. Headquarters: 3360 E. La Palma Ave Anaheim, CA 92806 USA 714 630-3700. Autoscope ® Vehicle Detection since 1984 In 2014, celebrating 23 year partnership with Image Sensing Systems (ISS).

ace
Download Presentation

Autoscope Basic Concepts Introduction & Online Resources 20 March 2014

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Autoscope Basic ConceptsIntroduction & Online Resources20 March 2014

  2. Presented by: Headquarters: 3360 E. La Palma AveAnaheim, CA 92806 USA714 630-3700

  3. Autoscope® Vehicle Detection since 1984In 2014, celebrating 23 year partnership with Image Sensing Systems (ISS)

  4. Section Purpose • Autoscope® Basic Concepts • The fundamentals of “thinking” video detection • Review video detection fundamentals • Why Detection? • How video detection Work? • Raw detection event from video “snapshots” • Validating the detection event we want • What we do with each detection event • Example Fields-of-View • Occlusion… cross street, cross lane, down lane, & obstruction

  5. Autoscope® Basic Concepts Why Detection?

  6. Why Detection?

  7. Why Detection? • Detection: • Increases the capacity of our roadways • Provides information about demand for service at an intersection • Efficient & Safe Operations • Effective movement of people • Successful resource for community • Provides the information foundation for modern traffic management systems

  8. All Traffic Problems are Local • Traffic Congestion • Red Light Violations • Equipment Failures • Lack of Signal Coordination • High Maintenance Costs, Deferred Tasks • Manufacturer Support? Econolite! • Equipment Limitations for Traffic Demand • Expansion of Traffic System, Add Signals • Training: New Technologies, Concepts, … * Other Local Traffic Problems …

  9. Traffic Congestion Affects … • The Public • Government Ministries & Departments • Businesses • Everyone feels the impact of traffic congestion. * We all get frustrated with traffic congestion

  10. Traffic Management Benefits … • The Public • Government Ministries & Departments • Businesses • Everyone feels good when we keep people moving. * We all want to be mobile

  11. Autoscope® Basic Concepts How Does Video Detection Work?

  12. How Does Video Detection Work? Our class goals: • Video Detection Concepts • How Does It Work? • What Can It Do? • Types of Applications • Limitations • Language of Video Detection • Configuring an intersection application * The Basics

  13. First, Some Background • Video Detection • How it works • What it can do • Where to use it

  14. How Does Video Detection Work? • How Does It Work? • Video Detection Concepts * The Basics—How it works 2

  15. What is video detection? • Process video pictures • Test for a valid event • Output call or data or video • Repeat with consistency * Video detection technology in a nutshell

  16. 1. Process Video Pictures • Process live analog video signal • Find differences between images • Repeat for 30 frames per second * To human eye, a “movie” appears continuous

  17. 1a. ForEach Video Frame • Digitize picture • Divide picture into pixels • Rows & Columns • Capture informationabout each pixel • Repeat 30 times per second * Converts picture to raw data 1100110000111010101000101010

  18. 1b. It Needs a Reference Background • How do we tell if it’s a vehicle or just the street? • Determine background scene • Adapt to lighting changes * Update background regularly Background Refresh Rate

  19. 1c. Find Differences from Background - = • New Video Frame minus Background equals a Detection EventIt’s a vehicle! Or is it? • Repeat 30 times per second * Machine Vision Technology

  20. Steps to a Valid Call • Update Background, Find Differences • Test for ValidityEliminate artifact conditions • Lighting changes • Moving vehicle shadows • Snow, Rain, Fog, etc. • It’s a Vehicle! Or is it? • User Tests • Behavior or Time tests • 3. Output Results * Patented Technologies

  21. 2. Does it meet our test?Is this what we want to detect? • Once have a “valid” vehicle call, there’s more: • Tools in the Autoscope Toolbox • YOU can further validate the detection event • By applying NEMA-TEES detector types  • By applying Boolean logical tests  • By testing in time or for persistence  • By qualifying the detection event  • Stopped vehicle • Vehicle size • Vehicle speed • Etc. * Create Information from raw detection event: Flexibility better meets your detection objectives

  22. 3. Outputs – What Do With Results? • What to do with this information: • Output demand for service to traffic controller • Actuate a relay (sign, flasher, etc.) • Send alarm to alert operator • Collect traffic data for congestion management • Display video for verification & confirmation * Video Detection as a Subsystem to overall system

  23. How does video detection work? 3 steps – over and over and over... • Process video pictures • Test for a valid event • Output call or data or video • Repeat with consistency * Video detection technology in a nutshell

  24. What is video detection? Summary How Does It Work? • Process video pictures • Test for a valid event • Output call or data • Repeat with consistency * Video detection technology in a nutshell

  25. Autoscope® Basic Concepts Video Detection Examples, Occlusion…

  26. Where do I use Video Detection? • Where to use—what applications? • Video Detection Concepts • More than just “Magic” * The Basics—Applications

  27. Where No Detector Has Gone Before • Intersection – vehicles & bicycles • Freeway and Access Control • Temporary and Construction • Traffic Surveys (counts, speeds, …) • Tunnels and Bridges • Special Applications • Border Crossing • Runaway Truck • Red Light Enforcement & Awareness Reporting • Incident Detection and Incident Prevention • Railroad & LTR Crossings • Safety and Security (Military, HLS, etc.) • Pedestrian * Other video detection applications? More everyday

  28. Application Groupings • Intersection – vehicles & bicycles • Freeway and Access Control • Temporary and Construction • Traffic Surveys (counts, speeds, …) • Tunnels and Bridges • Special Applications • Red Light Enforcement & Awareness Reporting • Incident Detection and Incident Prevention • Railroad Crossings • Safety and Security (Military, HLS, etc.) • Pedestrian • * Other video detection applications? More everyday

  29. Language of Video Detection • Detection Objectives – Primary & Secondary • Field-of-View (Height & Angle) • Occlusion • Cross Lane Occlusion • Down Lane Occlusion • Cross Street Occlusion • Obstruction Occlusion • Trees and Bushes • Wires • Signal Heads • Light – glare from a building or service station lot • Light – signal heads at night!

  30. Intersection Stop Line: Span Wire • Span wire challenges:Which is best?

  31. Intersection Stop Line: Mast Arm • Four views of same stop line:Is there a best view?

  32. Where to place the cameras? • Project economics typically implies or mandates use of existing infrastructure • Ideal placement however may mean new poles • Expect reasonable results with existing poles

  33. Factors Influencing Performance 100% • Decisions made in configuration 10-15% • Decisions made during installation 25 - 30% • Decisions made by Engineer on the drafting table during design 60 – 65% 0% * The easiest changes make least difference

  34. Mid-Block Stations • Traffic Data Collection • Queue Buildup

  35. Freeways and Highways

  36. Freeway • Traffic Data Collection • Incident Detection & Prevention

  37. Ramp Meter

  38. Freeway Access Control • Traffic Data Collection • Incident Detection & Prevention

  39. Traffic Surveys • Traffic Data Collection • Camera Position Determines Detector Placement

  40. Data Collection • Traffic Data Collection • Driver BehaviorDetermines Detector Placement

  41. Pedestrian Detection • Cross safely • Extend signal time • Actuate signs to warn motorists

  42. Bike Detection • Actuate signs to warn motorists • Give bikes more time to cross

  43. Pedestrian Detection • It works! • Difficult to combine with other detection objectives • Think straight down

  44. Tunnels & Bridges

  45. Bridges • Traffic Data Collection • Automatic IncidentDetection

  46. Tunnels • Traffic Data Collection • Automatic IncidentDetection • Smoke Detection

  47. Special Applications: Homeland Security • Airports • Parking Structures • Train Stations • Seaports • Military Bases

  48. Airport Red Zones • Stopped VehicleAlarms • Red Zone Monitoring

  49. Military Airports • Taxiway Control • Aircraft of Many Sizes

  50. Security: Gates • Over speed vehicles • Wrong-way vehicles

More Related