System and method for vehicle detection and tracking
First Claim
1. A method for vehicle detection and tracking, the method comprising the steps of:
- capturing a plurality of image frames viewing at least one traffic lane;
extracting at least one feature from the plurality of image frames;
detecting at least one object indicative of a vehicle from the extracted feature; and
tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity, wherein a detection line is defined for the at least one traffic lane; and
wherein the extracting step comprises;
calculating a positive spatial gradient for each of the plurality of frames;
calculating temporal differences between the spatial gradients of neighboring frames; and
performing convolutions along the detection line of the at least one traffic lane for extracting the at least one feature.
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Accused Products
Abstract
A system and method for vehicle detection and tracking in tunnels is provided. The method comprises the steps of capturing a plurality of image frames viewing at least one traffic lane; extracting at least one feature from the plurality of image frames; detecting at least one object indicative of a vehicle from the extracted feature; and tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity. The system comprising at least one image capture device for capturing a plurality of image frames viewing at least one traffic lane; and a processor adapted for extracting at least one feature from the plurality of image frames, detecting at least one object indicative of a vehicle from the extracted feature, and tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity.
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Citations
15 Claims
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1. A method for vehicle detection and tracking, the method comprising the steps of:
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capturing a plurality of image frames viewing at least one traffic lane; extracting at least one feature from the plurality of image frames; detecting at least one object indicative of a vehicle from the extracted feature; and tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity, wherein a detection line is defined for the at least one traffic lane; and
wherein the extracting step comprises;calculating a positive spatial gradient for each of the plurality of frames; calculating temporal differences between the spatial gradients of neighboring frames; and performing convolutions along the detection line of the at least one traffic lane for extracting the at least one feature. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for vehicle detection and tracking, the system comprising:
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at least one image capture device for capturing a plurality of image frames viewing at least one traffic lane; and a processor adapted for extracting at least one feature from the plurality of image frames, detecting at least one object indicative of a vehicle from the extracted feature, and tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity;
wherein the processor is adapted for defining a detection line for the at least one traffic lane; andwherein the processor is further adapted for calculating a positive spatial gradient for each of the plurality of frames, calculating temporal differences between the spatial gradients of neighboring frames, and performing convolutions along the detection line of the at least one traffic lane for extracting the at least one feature. - View Dependent Claims (11, 12, 13, 14)
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15. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform the method steps for vehicle detection and tracking, the method steps comprising:
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capturing a plurality of image frames viewing at least one traffic lane; extracting at least one feature from the plurality of image frames; detecting at least one object indicative of a vehicle from the extracted feature; and tracking the detected vehicle over time to determine the detected vehicle'"'"'s velocity; wherein the extracting step comprises; calculating a positive spatial gradient for each of the plurality of frames;
calculating temporal differences between the spatial gradients of neighboring frames; andperforming convolutions along the detection line of the at least one traffic lane for extracting the at least one feature.
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Specification