Intergraph Software Technologies Company

Intergraph Software Technologies

Intergraph Hardware Technologies Company

Susan Heath Calvin Fletcher

Gene Arthur Grindstaff

Therman Ward McKay, Iii

Therman Ward Iii Mckay

A method for demultiplexing time-division multiplexed digital video data which originates from multiple sources. The video data is not indexed nor identified to the sources. A first set of digital video data representative of a first image is identified as representative video data of the first source. A second set of digital video data representative of a current image is then retrieved. A difference ratio is calculated using the representative digital video data and the current set of digital video data. If the difference ratio is above a threshold, a display query is prompted to a user to indicate the source. If the response is indicative with a new source, the current set of digital video data is stored to a second memory location associated with the second source and identified as a representative of the second source.

Method, device and computer program product for demultiplexing of video images

A method for viewing a first object that is obstructed by a second object. In such a method, the first object has a contrasting color to the second object and the second object is constructed from a material that allows visible light to pass therethrough. The amount of visible light that passes through the second object is not enough such that the first object is visible to the human eye. The method involves taking a digital image of the first and second object using a visible light sensor, such as a CCD camera sensor. The digital image data that is received into a computer system contains both first object data and second object data. It should be understood that the first object data and the second object data include color information. The amount of contrast between the first and the second object should be approximately 10% of the total scale such that on a 256 color scale the difference is approximately 25 levels. The computer system substantially filters out the second object data and then the values associated with the first object data are increased until the data is visibly displayable.

Concealed object recognition

A method for image stabilization of at least two digital images is disclosed. In such an embodiment, a first digital image having a plurality of pixels and at least a second image having a plurality of pixels are provided. Each pixel has an associated address for display and is representative of a color. Either a user of the system provides a color match range or the system provides a predetermined color matched range. A pixel is selected within the first digital image. Preferably the pixel is one that represents an item within the image that is either blurry due to movement of the item or appears jittery due to camera movement. Due to the vast number of available colors a pixel selected in a first image can be matched to a pixel in a second image within a range. The range allows for compensation due to lighting changes. Once the pixel in the first image is selected it can be compared to all pixels within the second image. Each pixel within the second image that is within the color match range is saved and the closest pixel color to the pixel from the first image is selected. The address of the pixels in the second image are then readdressed such that the address of the pixel located in the second image that has the closest color to the pixel in the first image now has the same display address as that of the pixel in the first image. The repositioned second digital image is then stored to memory.

Method, device and computer program product for image stabilization using color matching

A method for demultiplexing digital video data which originates from multiple sources in which the multiplexed images are not indexed nor is there identification information provided to differentiate sources. The sources are generally cameras which may be stationary cameras or moving cameras that rotate as are commonly used in the surveillance industry. A first set of digital video data representative of a first image is retrieved from a memory source or from a video tape. The first set of digital video data is stored to a memory location associated with a first source. The first set of video data is also identified as representative video data of the first source. A second set of digital video data representative of a current image is then retrieved. A difference ratio is calculated using the representative digital video data and the current set of digital video data. If the difference ratio is above a threshold, a display query requiring response for classifying the current digital video data as belonging to an identified source or originating from a new source is presented to a user of the system. If a response is received indicating that the current set of digital video data is associated with a new source, the current set of digital video data is stored to a second memory location associated with the second source. This current set of digital video data is then identified as the representative video data for the second source.

A method for viewing a first object that is obstructed by a second object. In such a method, the first object has a contrasting color to the second object and the second object is constructed from a material that allows visible light to pass therethrough. The amount of visible light that passes through the second object is not enough such that the first object is visible to the human eye. The method involves taking a digital image of the first and second object using a visible light sensor, such as a CCD camera sensor. The digital image data that is received into a computer system contains both first object data and second object data. It should be understood that the fist object data and the second object data include color information. The amount of contrast between the first and the second object should be approximately 10% of the total scale such that on a 256 color scale the difference is approximately 25 levels. The computer system substantially filters out the second object data and then the values associated with the first object data are increased until the data is visibly displayable.

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Huntsville, AL, United States of America

Susan Heath Calvin Fletcher