Vehicle occupancy detection using passenger to driver feature distance
First Claim
Patent Images
1. A method for vehicle occupancy detection comprising:
- collecting image data of a vehicle;
creating a first value according to a plurality of characteristics of a driver position of said vehicle;
creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in said vehicle;
calculating a distance between said first value and said at least one other value in order to determine a vehicle occupancy;
determining a threshold distance based on a training set of images wherein said threshold distance is indicative of a passenger in a vehicle; and
applying a classifier to said distance between said value and said at least one other value in order to determine if said distance between said first value and said at least one other value is indicative of a passenger in said vehicle.
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Abstract
A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.
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Citations
17 Claims
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1. A method for vehicle occupancy detection comprising:
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collecting image data of a vehicle; creating a first value according to a plurality of characteristics of a driver position of said vehicle; creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in said vehicle; calculating a distance between said first value and said at least one other value in order to determine a vehicle occupancy; determining a threshold distance based on a training set of images wherein said threshold distance is indicative of a passenger in a vehicle; and applying a classifier to said distance between said value and said at least one other value in order to determine if said distance between said first value and said at least one other value is indicative of a passenger in said vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for vehicle occupancy detection comprising:
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collecting image data of a vehicle; localizing said image data of said vehicle in order to define a localized windshield region; splitting said localized windshield region into a driver part and a passenger part; creating a first value according to a plurality of characteristics of said driver part of said vehicle by calculating a first image feature representation vector; creating at least one other value according to a plurality of characteristics of said passenger part of said vehicle by calculating at least one other image feature representation vector; calculating a distance between said first image feature representation vector and said at least one other image feature representation vector in order to determine a vehicle occupancy; determining a threshold distance based on a training set of images wherein said threshold distance is indicative of a passenger in a vehicle; and applying a classifier to said distance between said first image feature representation vector and said at least one other image feature representation vector in order to determine if said distance between said first image feature representation vector and said at least one other image feature representation vector is indicative of a passenger in said vehicle.
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10. A system for vehicle occupancy detection comprising:
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a camera module configured to collect image data of a vehicle; a processor; and a non-transitory computer-usable medium embodying computer code, said computer-usable medium being coupled to said processor, said computer code comprising instructions executable by said processor configured for; collecting image data of a vehicle; creating a first value according to a plurality of characteristics of a driver position of said vehicle; creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in said vehicle; calculating a distance between said first value and said at least one other value in order to determine a vehicle occupancy; determining a threshold distance based on a training set of images wherein said threshold distance is indicative of a passenger in a vehicle; and applying a classifier to said distance between said first value and said at least one other value in order to determine if said distance between said first value and said at least one other value is indicative of a passenger in said vehicle. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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Specification