Vehicle environment monitoring device
First Claim
1. A vehicle environment monitoring device, which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, which comprises:
- a binarized object extraction device which by binarizing grayscale images of the infrared images, extracts the bodies as binarized objects;
a binarized object feature quantity calculation device which calculates a feature quantity of the binarized objects;
an object image extraction device which extracts an image of grayscale objects from the grayscale image, the grayscale objects corresponding to the binarized objects;
an object image feature quantity calculation device which calculates a feature quantity of the grayscale objects;
a feature quantity comparison device which compares to each other the feature quantity extracted by the binarized object feature quantity calculation device and the feature quantity extracted by the object image feature quantity calculation device; and
a body state determination device which determines the state of the bodies as affected by a surrounding environment thereof based on the results of the comparison performed in the feature quantity comparison device;
wherein said feature quantity comparison device compares for a plurality of bodies the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device, andsaid body state determination device determines the state of said bodies according to a proportion of bodies specified by the results of the comparison of said feature quantity comparison device.
3 Assignments
0 Petitions
Accused Products
Abstract
A vehicle environment monitoring device identifies objects from an image taken by an infrared camera. Object extraction from images is performed in accordance with the state of the environment as determined by measurements extracted from the images as follows: N1 binarized objects are extracted from a single frame. Height of a grayscale objects corresponding to one of the binarized objects are calculated. If a ratio of the number of binarized objects C, where the absolute value of the height difference is less than the predetermined value ΔH, to the total number N1 of binarized objects, is greater than a predetermined value X1, the image frame is determined to be rainfall-affected. If the ratio is less than the predetermined value X1, the image frame is determined to be a normal frame. A warning is provided if it is determined that the object is a pedestrian and if a collision is likely.
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Citations
18 Claims
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1. A vehicle environment monitoring device, which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, which comprises:
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a binarized object extraction device which by binarizing grayscale images of the infrared images, extracts the bodies as binarized objects; a binarized object feature quantity calculation device which calculates a feature quantity of the binarized objects; an object image extraction device which extracts an image of grayscale objects from the grayscale image, the grayscale objects corresponding to the binarized objects; an object image feature quantity calculation device which calculates a feature quantity of the grayscale objects; a feature quantity comparison device which compares to each other the feature quantity extracted by the binarized object feature quantity calculation device and the feature quantity extracted by the object image feature quantity calculation device; and a body state determination device which determines the state of the bodies as affected by a surrounding environment thereof based on the results of the comparison performed in the feature quantity comparison device; wherein said feature quantity comparison device compares for a plurality of bodies the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device, and said body state determination device determines the state of said bodies according to a proportion of bodies specified by the results of the comparison of said feature quantity comparison device. - View Dependent Claims (5, 6, 11, 12, 13, 18)
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2. A vehicle environment monitoring device, which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, which comprises:
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a binarized object extraction device which by binarizing grayscale images of the infrared images, extracts the bodies as binarized objects; a binarized object feature quantity calculation device which calculates a feature quantity of the binarized objects; an object image extraction device which extracts an image of grayscale objects from the grayscale image, the grayscale objects corresponding to the binarized objects; an object image feature quantity calculation device which calculates a feature quantity of the grayscale objects; a feature quantity comparison device which compares to each other the feature quantity extracted by the binarized object feature quantity calculation device and the feature quantity extracted by the object image feature quantity calculation device; and a body state determination device which determines the state of the bodies as affected by a surrounding environment thereof based on the results of the comparison performed in the feature quantity comparison device; wherein said feature quantity comparison device compares the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device across a plurality of image frames, and said body state determination device determines the state of said bodies according to a proportion of image frames where the proportion of bodies specified based on the comparison results of said feature quantity comparison device is at or above a predetermined level.
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3. A vehicle environment monitoring device which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, comprising:
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a binarized object extraction device which by binarizing grayscale images of said infrared images, extracts said bodies as binarized objects; a binarized object feature quantity calculation device which calculates a feature quantity of said binarized objects; an object image extraction device which extracts an image of a grayscale object from said grayscale image, the grayscale object corresponding to a binarized object; an object image feature quantity calculation device which calculates a feature quantity of said grayscale image; a pedestrian recognition device which determines which objects are pedestrians using the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device; and a feature quantity comparison device which compares to each other the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device to each other, wherein said pedestrian recognition device changes a pedestrian recognition processing method thereof based on the comparison results of said feature quantity comparison device, said feature quantity comparison device compares for a plurality of bodies the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device, and said pedestrian recognition device changes said pedestrian recognition processing method according to a proportion of bodies specified based on the results of the comparison of said feature quantity comparison device. - View Dependent Claims (9, 10, 16)
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4. A vehicle environment monitoring device which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, comprising:
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a binarized object extraction device which by binarizing grayscale images of said infrared images, extracts said bodies as binarized objects; a binarized object feature quantity calculation device which calculates a feature quantity of said binarized objects; an object image extraction device which extracts an image of a grayscale object from said grayscale image, the grayscale object corresponding to a binarized object; an object image feature quantity calculation device which calculates a feature quantity of said grayscale image; a pedestrian recognition device which determines which objects are pedestrians using the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device; and a feature quantity comparison device which compares to each other the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device to each other, wherein said pedestrian recognition device changes a pedestrian recognition processing method thereof based on the comparison results of said feature quantity comparison device, said feature quantity comparison device compares the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device across a plurality of image frames, and said pedestrian recognition device changes said pedestrian recognition processing method according to a proportion of image frames where the proportion of bodies specified based on the comparison results of said feature quantity comparison device is at or above a predetermined level.
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7. A vehicle environment monitoring device which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, comprising:
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a binarized object extraction device which extracts said bodies as a plurality of binarized objects, by plural binarizations of a grayscale image from said infrared cameras according to a plurality of luminance threshold values; a binarized object feature quantity calculation device which respectively calculates a feature quantity of each of said plurality of binarized objects with different luminance threshold values; a feature quantity comparison device which compares to each other the feature quantities of said plurality of binarized objects with different luminance threshold values extracted by said binarized object feature quantity calculation device; and a body state determination device which determines the state of said bodies as affected by a surrounding environment thereof based on the comparison results of said feature quantity comparison device; wherein said feature quantity comparison device compares to each other the feature quantities of said plurality of binarized objects with different luminance threshold values extracted by said binarized object feature quantity calculation device, for a plurality of bodies, and said body state determination device determines the state of said bodies according to a proportion of bodies specified based on the results of the comparison of said feature quantity comparison device. - View Dependent Claims (14)
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8. A vehicle environment monitoring device which detects bodies present in the environment of a vehicle from infrared images taken by infrared cameras, comprising:
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a binarized object extraction device which plurally extracts each of said bodies to form a plurality of binarized objects, by binarizing grayscale images from said infrared cameras according to a plurality of luminance threshold values, each of the plurality of binarized objects comprising a unique luminance threshold value; a binarized object feature quantity calculation device which respectively calculates a feature quantity of said plurality of binarized objects with different luminance threshold values; an object image extraction device which extracts images of grayscale objects corresponding to said binarized objects from said grayscale images; an object image feature quantity calculation device which calculates a feature quantity of said grayscale objects; a pedestrian recognition device which recognizes pedestrians using the feature quantity extracted by said binarized object feature quantity calculation device and the feature quantity extracted by said object image feature quantity calculation device; and a feature quantity comparison device which compares to each other the feature quantity of said plurality of binarized objects with different luminance threshold values extracted by said binarized object feature quantity calculation device, and said pedestrian recognition device changes a pedestrian recognition processing method thereof based on the comparison results of said feature quantity comparison device, wherein said feature quantity comparison device compares to each other the feature quantity of said plurality of binarized objects with different luminance threshold values extracted by said binarized object feature quantity calculation device, for a plurality of bodies, and said pedestrian recognition device changes said pedestrian recognition processing method according to a proportion of bodies specified based on the results of the comparison of said feature quantity comparison device. - View Dependent Claims (15, 17)
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Specification