01-06-2012, 01:36 PM
Video Surveillance systems for Traffic Monitoring
[attachment=23856]
what is video surveillance?
Present Implementations?
Human detection systems.
vehicle monitoring systems.
Advantages of video surveillance?
Keep track of information video data for future use.
Helpful in identifying people in the crime scenes etc..
Disadvantages of the present system?
It’s difficult to maintain heavy amount of raw video data
Human interaction.
Require higher bandwidth for transmitting the visual data.
Need for Traffic Monitoring
To reduce the traffic congestion on highways
Reduce the road accidents
Identifying suspicious vehicles. Etc..,
Traffic Monitoring in Computer Vision
The quest for better traffic information, an increasing reliance on traffic surveillance has resulted in a better vehicle detection.
Taking some intelligent actions based on the conditions.
Traffic scene analysis in 3 categories.
A strait forward vehicle detection and counting system .
Congestion monitoring and traffic scene analysis.
Vehicle classification and tracking systems which involve much more detailed scene traffic analysis.
Object Classification
Shape based classification.
Image blob area, blob bounding box
Classification based on above info.
Motion-based classification.
Human motion shows periodic property.
Time frequency analysis applied.
Residual flow taken under consideration.
Vehicle detection technique
Region based tracking
It detects each vehicle blob using a cross correlation function.
Vehicle detection based on back ground subtraction.
Disadvantage
Difficult to detect the vehicles under congested traffic, because vehicles partly occlude with one another
[attachment=23856]
what is video surveillance?
Present Implementations?
Human detection systems.
vehicle monitoring systems.
Advantages of video surveillance?
Keep track of information video data for future use.
Helpful in identifying people in the crime scenes etc..
Disadvantages of the present system?
It’s difficult to maintain heavy amount of raw video data
Human interaction.
Require higher bandwidth for transmitting the visual data.
Need for Traffic Monitoring
To reduce the traffic congestion on highways
Reduce the road accidents
Identifying suspicious vehicles. Etc..,
Traffic Monitoring in Computer Vision
The quest for better traffic information, an increasing reliance on traffic surveillance has resulted in a better vehicle detection.
Taking some intelligent actions based on the conditions.
Traffic scene analysis in 3 categories.
A strait forward vehicle detection and counting system .
Congestion monitoring and traffic scene analysis.
Vehicle classification and tracking systems which involve much more detailed scene traffic analysis.
Object Classification
Shape based classification.
Image blob area, blob bounding box
Classification based on above info.
Motion-based classification.
Human motion shows periodic property.
Time frequency analysis applied.
Residual flow taken under consideration.
Vehicle detection technique
Region based tracking
It detects each vehicle blob using a cross correlation function.
Vehicle detection based on back ground subtraction.
Disadvantage
Difficult to detect the vehicles under congested traffic, because vehicles partly occlude with one another