Object detection based on determination of pixel state
First Claim
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1. An object detecting apparatus comprising:
- a pixel state determining unit that determines a pixel state indicative of temporal properties of pixel characteristics of an input image;
a background model generating unit that adaptively generates a background model from said pixel state and a first characteristic distance as conditions to process per each pixel unit, the first characteristic distance being indicative of a degree of similarity between pixel characteristics of the input image and a preceding background model; and
an object judging unit that judges an object based on a second characteristic distance indicative of a degree of similarity between a generated background model and pixel characteristics of the input image,wherein said pixel state has the temporal properties of pixel characteristics of the input image, and is selected in a state from among the following states;
a stationary state that is a stable state over a short period of time, a moving state that is an unstable state over a short period of time as compared to a long period of time, a continuously stationary state that is a stable state over a long period of time, and a continuously moving state that is an unstable state over a long period of time.
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Abstract
An object detecting apparatus and method includes a pixel state determining unit that derives variance value for temporal properties of pixel characteristics of an input image, background model generating unit that adaptively generates a background model from characteristics in the characteristic storing unit and characteristic storing unit for background model generation using the characteristic distance and the pixel state determined as conditions, and an object judging unit that judges an object based on a characteristic distance indicative of a degree of similarity between a generated background model and pixel characteristics of an input image.
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Citations
38 Claims
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1. An object detecting apparatus comprising:
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a pixel state determining unit that determines a pixel state indicative of temporal properties of pixel characteristics of an input image; a background model generating unit that adaptively generates a background model from said pixel state and a first characteristic distance as conditions to process per each pixel unit, the first characteristic distance being indicative of a degree of similarity between pixel characteristics of the input image and a preceding background model; and an object judging unit that judges an object based on a second characteristic distance indicative of a degree of similarity between a generated background model and pixel characteristics of the input image, wherein said pixel state has the temporal properties of pixel characteristics of the input image, and is selected in a state from among the following states;
a stationary state that is a stable state over a short period of time, a moving state that is an unstable state over a short period of time as compared to a long period of time, a continuously stationary state that is a stable state over a long period of time, and a continuously moving state that is an unstable state over a long period of time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An object detecting apparatus comprising:
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a pixel state determining unit that determines a pixel state indicative of temporal properties of pixel characteristics of an input image; a background model generating unit that adaptively generates a background model from said pixel state and a first characteristic distance as conditions to process per each pixel unit, the first characteristic distance being indicative of a degree of similarity between pixel characteristics of an input image and a preceding background model; and an object judging unit that judges an object based on a second characteristic distance indicative of a degree of similarity between a generated background model and pixel characteristics of an input image, wherein said pixel state determining unit determines a pixel state from variance values based on characteristics (from a latest value to a value a short while ago) stored in characteristic storing unit that time-sequentially stores pixel characteristics of an input image and a ratio RS between the numbers of variance values not more than a threshold value for a stable state in characteristic variance value storing unit that time-sequentially stores said variance values and all stored data. - View Dependent Claims (10, 11)
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12. An object detecting apparatus that judges an object by dividing an image, comprising:
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an image dividing unit that divides an input image; a temporal characteristic determining unit that determines temporal characteristics of an image per divided image unit; and an image unit specifying unit that analyzes temporal characteristics of a plurality of image units and specifies an image unit in which an object exists, wherein, when analyzing temporal characteristics of a plurality of image units, said image unit specifying unit extracts distinctive features of parts with similarity in temporal properties to each other from a time sequence of characteristic information obtained per image unit, and wherein the temporal characteristics have one of following characteristics selected from among the following states;
a stable state over a short period of time, an unstable state over a short period of time as compared to a long period of time, a stable state over a long period of time, and an unstable state over a long period of time. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A method for detecting an object, the method comprising:
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a pixel state having temporal properties of pixel characteristics of an input image; generating adaptively a background model using said pixel state and a characteristic distance that indicates a degree of similarity between pixel characteristics of an input image and a preceding background model as conditions per pixel unit; and judging an object based on a characteristic distance that indicates a degree of similarity between a generated background model and the pixel characteristics of the input image, wherein a pixel state has the temporal properties of the pixel characteristics of the input image, and is selected from the following states;
a stationary state that is a stable state over a short period of time as compared to a long period of time, a moving state that is an unstable state over a short period of time, a continuously stationary state that is a stable state over a long period of time, and a continuously moving state that is an unstable state over a long period of time. - View Dependent Claims (19, 20, 21, 22, 23)
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24. A method for detecting an object, the method comprising:
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a pixel state having temporal properties of pixel characteristics of an input image; generating adaptively a background model using said pixel state and a characteristic distance that indicates a degree of similarity between pixel characteristics of an input image and a preceding background model as conditions per pixel unit; and judging an object based on a characteristic distance that indicates a degree of similarity between a generated background model and the pixel characteristics of the input image, wherein a pixel state is determined from variance values based on characteristics (from a latest value to a value a short while ago) stored in characteristic storing unit that time-sequentially stores pixel characteristics of an input image and a ratio Rs between the numbers of variance values not more than a threshold value for a stable state in characteristic variance value storing unit that time-sequentially stores said variance values and all stored data in the determining of the pixel state. - View Dependent Claims (25, 26)
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27. A method for detecting an object, in which an object is judged by dividing an image, comprising:
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dividing an input image; determining temporal characteristics of an image per divided image unit; and specifying an image unit by analyzing temporal characteristics of a plurality of image units and specifying image units in which an object exists per image unit, wherein the temporal characteristics is selected from following characteristics;
a stable state over a short period of time, an unstable state over a short period of time as compared to a long period of time, a stable state over a long period of time, and an unstable state over a long period of time. - View Dependent Claims (28, 29, 30)
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31. An object detection program, stored in a non-transitory computer readable medium, having a computer execute a method comprising:
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a pixel state determination processing, executable by a processing unit of the computer, that determines a pixel state having temporal properties of pixel characteristics of an input image for display on a display device; a background model generation processing, executable by the processing unit, that adaptively generates a background model using said pixel state and a characteristic distance that indicates a degree of similarity between pixel characteristics of said input image and a preceding background model as conditions per pixel unit; and an object judgment processing, executable by the processing unit, that judges an object based on a characteristic distance that indicates a degree of similarity between a generated background model and pixel characteristics of an input image, wherein the temporal properties is selected from following properties;
a stable state over a short period of time, an unstable state over a short period of time as compared to a long period of time, a stable state over a long period of time, and an unstable state over a long period of time.
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32. An object detection program, stored in a non-transitory computer readable medium, having a computer execute a method comprising:
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a pixel state determination processing, executable by a processing unit of the computer, that determines a pixel state having temporal properties of pixel characteristics of an input image for display on a display device; a background model generation processing, executable by the processing unit, that adaptively generates a background model using said pixel state and a characteristic distance that indicates a degree of similarity between pixel characteristics of said input image and a preceding background model as conditions per pixel unit; and an object judgment processing, executable by the processing unit, that judges an object based on a characteristic distance that indicates a degree of similarity between a generated background model and pixel characteristics of an input image, wherein the pixel state determination processing comprises the pixel state being determined from variance values based on characteristics (from a latest value to a value a short while ago) stored in characteristic storing unit that time-sequentially stores pixel characteristics of an input image and a ratio RS between the numbers of variance values not greater than a threshold value for a stable state in characteristic variance value storing unit that time-sequentially stores said variance values and all stored data. - View Dependent Claims (33, 34)
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35. An object detection program, stored in a non-transitory computer readable medium, having a computer that judges an object by dividing an image execute a method, comprising:
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an image division processing, executable on a processor of the computer, that divides an input image to display on a display device; a temporal characteristic determination processing, executable on the processor, that determines temporal characteristics of an image per divided image unit; and an image unit specification processing, executable on the processor, that analyzes temporal characteristics of a plurality of image units and that specifies an image unit in which an object exists per image unit, wherein the temporal characteristics is selected from following characteristics;
a stable state over a short period of time, an unstable state over a short period of time as compared to a long period of time, a stable state over a long period of time, and an unstable state over a long period of time. - View Dependent Claims (36, 37)
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38. An object detecting apparatus comprising:
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a pixel state determining unit that determines a pixel state indicative of temporal properties of pixel characteristics of an input image; a background model generating unit that adaptively generates a background model from said pixel state and a first characteristic distance as conditions to process per each pixel unit, the first characteristic distance being indicative of a degree of similarity between pixel characteristics of an input image and a preceding background model; and an object judging unit that judges an object based on a second characteristic distance indicative of a degree of similarity between a generated background model and pixel characteristics of an input image, wherein; the background model generating unit generates the background model comprising an updated background model when the pixel state is stationary and the first characteristic distance is equal to or less than a characteristic distance threshold, and the object judging unit judges the object based on the second characteristic distance indicative of the degree of similarity between the generated background model and the pixel characteristics of the input image, the generated background model being either the updated background model when the pixel state is stationary and the first characteristic distance is equal to or less than a characteristic distance threshold, or the preceding background model when the pixel state is not stationary or when the first characteristic distance is more than the characteristic distance threshold.
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Specification