Method And Apparatus For Motion Detection
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Accused Products
Abstract
Image analysis techniques may be employed to identify moving and/or static object within a sequence of spatial data frames (102, 300). Attributes of interest may be identified within a sequence of spatial data frames (102, 300). The attributes of interest may be clustered and examined across frames of the spatial data to detect motion vectors. A system (200) may derive information about these attributes of interest and their motion over time and identify moving and/or static objects, and the moving and/or static objects may be used to generate natural language messages describing the motion of the attributes of interest. Example uses include description of moving and/or static objects in data such as weather data, oil spills, cellular growth (e.g., tumor progression), atmospheric conditions (e.g., the size of a hole in the ozone layer), or any other implementation where it may be desirable to detect motion vectors in a sequence of spatial data frames.
2 Citations
83 Claims
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1-63. -63. (canceled)
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64. An apparatus for identifying a moving object in spatial data, the apparatus comprising at least one processor and at least one memory storing instructions that, with the processor, cause the apparatus to:
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identify a first cluster and a second cluster of a plurality of clusters in a sequence of spatial data frames, wherein the first cluster is associated with a first time value and the second cluster is associated with a second time value; determine that the first cluster corresponds to the second cluster based on a cluster similarity score computed for the first cluster at the first time value with the second cluster at the second cluster value; and generate, using a natural language generation system, an output text linguistically describing a moving object identified in part based on a motion vector between the first cluster and the second cluster. - View Dependent Claims (65, 66, 67, 68, 69, 70, 71, 72, 73, 80)
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74. A method for identifying a moving object in spatial data, the method comprising:
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identifying a first cluster and a second cluster of a plurality of clusters in a sequence of spatial data frames, wherein the first cluster is associated with a first time value and the second cluster is associated with a second time value; determining that the first cluster corresponds to the second cluster based on a cluster similarity score computed for the first cluster at the first time value with the second cluster at the second cluster value; and generating, using a natural language generation system, an output text linguistically describing a moving object identified in part based on a motion vector between the first cluster and the second cluster. - View Dependent Claims (75, 76, 77, 78, 79, 81, 82, 83)
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Specification