METHOD AND APPARATUS FOR REAL-TIME PEDESTRIAN DETECTION FOR URBAN DRIVING
First Claim
1. A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle, comprising the steps of:
- receiving imagery of a scene from at least one image capturing device;
deriving a depth map from the imagery;
detecting a plurality of pedestrian candidate regions of interest (ROIs) from the depth map by matching each of the plurality of ROIs with a 3D human shape model; and
classifying at least a portion of the candidate ROIs by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.
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Abstract
A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.
133 Citations
27 Claims
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1. A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle, comprising the steps of:
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receiving imagery of a scene from at least one image capturing device; deriving a depth map from the imagery; detecting a plurality of pedestrian candidate regions of interest (ROIs) from the depth map by matching each of the plurality of ROIs with a 3D human shape model; and classifying at least a portion of the candidate ROIs by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer-readable medium comprising computer-executable instructions for detecting the presence of one or more pedestrians in the vicinity of the vehicle, the instructions configured for:
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receiving a imagery of a scene from at least one image capturing device; deriving a depth map from the imagery; detecting a plurality of pedestrian candidate regions of interest (ROIs) from the depth map by matching each of the plurality of ROIs with a 3D human shape model; and classifying at least a portion of the candidate ROIs by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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26. A system for detecting the presence of one or more pedestrians in the vicinity of the vehicle, comprising:
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at least one image capturing device for receiving imagery of a scene; at least one processor communicatively connected to the at least one image capturing device for; receiving the imagery of the scene from the image capturing device; deriving a depth map from said imagery; detecting a plurality of pedestrian candidate regions of interest (ROIs) from the depth map by matching each of the plurality of ROIs with a 3D human shape model; and classifying at least a portion of the candidate ROIs by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle. - View Dependent Claims (27)
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Specification