Neural network-based vehicle detection system and method
First Claim
1. A system for detecting the presence of a vehicle within a traffic scene, said vehicle detection system comprising:
- means for producing an image signal representative of an image of the traffic scene that includes a video camera for producing an analog video signal representative of a video image of the traffic scene; and
means for processing said image signal to identify the presence of the vehicle within the traffic scene wherein said means for processing includes;
means for producing a digitized image signal from said analog video signal;
means for specifying a detection zone within said video image and means for extracting a portion of said digitized image signal corresponding to said detection zone to produce a digitized detection zone signal;
means for producing a tiled detection zone pixel map from said digitized detection zone signal;
a trainable neural network comprising input processing units, hidden processing units and output processing units wherein an output from each of said input processing units is connected to an input of each of said hidden processing units and an output from each of said hidden processing units is connected to an input of each of said output processing units and wherein said trainable neural network produces an output signal at each of said output processing units representative of the presence of the vehicle within a portion of said detection zone and wherein an ordered vector of said output signals produces a Gaussian-shaped curve;
means for inputting said tiled detection zone pixel map into said trainable neural network; and
an output filter for producing a presence output signal indicating that the vehicle is within said detection zone, said output filter including means for producing a pulse output signal indicating that the vehicle has passed through said detection zone by performing a matched filter operation on a time series of said ordered vectors of said output signals to detect when the vehicle has passed through said detection zone.
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Abstract
The present invention is directed to a neural network-based system for detecting the presence of a vehicle within a traffic scene. The vehicle detection system comprises an apparatus for producing an image signal representative of an image of the traffic scene and a trainable neural network for identifying the presence of a vehicle within the traffic scene. The present invention is also directed to a method for detecting the presence of a vehicle within a traffic scene. The vehicle detection method includes the steps of producing an image signal representative of an image of the traffic scene, collecting a training set of these image signals, training a neural network from this training set of image signals to correctly identify the presence of a vehicle within the traffic scene and performing surveillance of the traffic scene with the trained neural network to detect the presence of a vehicle.
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Citations
11 Claims
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1. A system for detecting the presence of a vehicle within a traffic scene, said vehicle detection system comprising:
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means for producing an image signal representative of an image of the traffic scene that includes a video camera for producing an analog video signal representative of a video image of the traffic scene; and means for processing said image signal to identify the presence of the vehicle within the traffic scene wherein said means for processing includes; means for producing a digitized image signal from said analog video signal; means for specifying a detection zone within said video image and means for extracting a portion of said digitized image signal corresponding to said detection zone to produce a digitized detection zone signal; means for producing a tiled detection zone pixel map from said digitized detection zone signal; a trainable neural network comprising input processing units, hidden processing units and output processing units wherein an output from each of said input processing units is connected to an input of each of said hidden processing units and an output from each of said hidden processing units is connected to an input of each of said output processing units and wherein said trainable neural network produces an output signal at each of said output processing units representative of the presence of the vehicle within a portion of said detection zone and wherein an ordered vector of said output signals produces a Gaussian-shaped curve; means for inputting said tiled detection zone pixel map into said trainable neural network; and an output filter for producing a presence output signal indicating that the vehicle is within said detection zone, said output filter including means for producing a pulse output signal indicating that the vehicle has passed through said detection zone by performing a matched filter operation on a time series of said ordered vectors of said output signals to detect when the vehicle has passed through said detection zone. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for detecting the presence of a vehicle within a traffic scene, comprising the steps of:
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producing an image signal representative of an image of the traffic scene and an analog video signal representative of a video image of the traffic scene; processing said image signal to identify the presence of the vehicle within the traffic scene; producing a digitized image signal from said analog video signal; specifying a detection zone within said video image and extracting a portion of said digitized image signal corresponding to said detection zone to produce a digitized detection zone signal; producing a tiled detection zone pixel map from said digitized detection zone signal; inputting said tiled detection zone pixel map into a trainable neural network comprising input processing units, hidden processing units and output processing units wherein an output from each of said input processing units is connected to an input of each of said hidden processing units and an output from each of said hidden processing units is connected to an input of each of said output processing units and wherein said trainable neural network produces an output signal at each of said output processing units representative of the presence of the vehicle within a portion of said detection zone and wherein an ordered vector of said output signals produces a Gaussian-shaped curve; producing a presence output signal indicating that the vehicle is within said detection zone; and producing a pulse output signal indicating that the vehicle has passed through said detection zone by performing a matched filter operation on a time series of said ordered vectors of said output signals to detect when the vehicle has passed through said detection zone.
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Specification