DETECTING AND IDENTIFYING PARKING LOTS IN REMOTELY-SENSED IMAGES
First Claim
1. A method for identifying parking lots in a remotely-sensed image, the method comprising:
- receiving at least one remotely-sensed image having zero or more parking lots;
identifying a first set of pixels related to a parking lot surface material within the remotely-sensed image with a first level module;
identifying a second set of pixels related to parking lot lines within the remotely-sensed image with a second level module;
identifying at least one parking lot object of interest within the remotely-sensed image with a third level module;
identifying at least one parking row within the remotely-sensed image with a fourth level module, wherein the fourth level module detects the at least one parking row based on data received from the first, second, and third level modules; and
identifying a parking lot based on information from the first, second, third, and fourth modules.
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Accused Products
Abstract
Processing and analyzing at least one remotely-sensed image to automatically detect and identify parking lots within a region of the remotely-sensed image. This may include: (1) receiving a remotely-sensed image having zero or more parking lots; (2) identifying a set of pixels related to parking lot features within the remotely-sensed image; (3) identifying at least one parking row within the remotely-sensed image; and (3) identifying a parking lot based on the identified parking rows. Identifying at least one parking lot may further include using first, second, third, and fourth level modules, such as a concrete/asphalt detection module, a road marking detection module, a vehicle detection module, and a Hough aggregation for parking row detection module.
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Citations
20 Claims
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1. A method for identifying parking lots in a remotely-sensed image, the method comprising:
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receiving at least one remotely-sensed image having zero or more parking lots; identifying a first set of pixels related to a parking lot surface material within the remotely-sensed image with a first level module; identifying a second set of pixels related to parking lot lines within the remotely-sensed image with a second level module; identifying at least one parking lot object of interest within the remotely-sensed image with a third level module; identifying at least one parking row within the remotely-sensed image with a fourth level module, wherein the fourth level module detects the at least one parking row based on data received from the first, second, and third level modules; and identifying a parking lot based on information from the first, second, third, and fourth modules. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for identifying parking rows in a remotely-sensed image, the method comprising:
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receiving at least one remotely-sensed image having zero or more parking lots; exploiting at least one spatial regularity property commonly found in parking rows; analyzing the at least one remotely-sensed image based on the exploited spatial regularity property; and identifying zero or more parking rows in the at least one remotely-sensed image; - View Dependent Claims (14, 15, 16, 17, 18)
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19. A method for identifying parking lots in a remotely-sensed image, the method comprising:
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receiving a first remotely-sensed image having zero or more parking lots; identifying a first set of pixels related to a parking lot surface material within the first remotely-sensed image with a first level module to create a first tagged image; receiving a second remotely-sensed image having zero or more parking lots; identifying a second set of pixels related to parking lot lines within the second remotely-sensed image with a second level module to create a second tagged image; masking the first tagged image with the second tagged image to create a first masked image; identifying at least one parking lot object of interest within the second remotely-sensed image with a third level module to create a third tagged image; masking the first tagged image with the third tagged image to create a second masked image; identifying at least one parking row within the first and second masked images with a fourth level module; and identifying a parking lot based on the identified at least one parking row. - View Dependent Claims (20)
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Specification