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1. EP2017788 - SHIELDING-OBJECT VIDEO-IMAGE IDENTIFYING DEVICE AND METHOD

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Claims

1. A blocker image identification apparatus for identifying a blocker in an image, the apparatus comprising:

motion level calculation means for calculating a motion level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

binarizing means for converting the calculated motion level into a binary value;

2-dimensional continuous region detection means for detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value of the binarizing means, for each frame;

large region extraction means for extracting, as a large region, a region having an area greater than a predetermined area, of regions detected by the 2-dimensional continuous region detection means; and

determination means for determining that the large region extracted by the large region extraction means is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  2. The blocker image identification apparatus according to claim 1, wherein the motion level calculation means includes frequency analysis means for performing frequency analysis on the image signal on a pixel by pixel basis or on a block by block basis, each block including a plurality of pixels, for each frame of the image signal, and calculates a power ratio of a highest frequency component in a vertical direction in accordance with a result of the frequency analysis performed by the frequency analysis means.
  3. The blocker image identification apparatus according to claim 1, wherein the frequency analysis means performs 2-dimensional Discrete Cosine Transform (DCT) or Discrete Fourier Transform (DFT) on a block by block basis, each block including a plurality of pixels.
  4. The blocker image identification apparatus according to claim 1, wherein the 2-dimensional continuous region detection means performs a labeling process on the binary values output from the binarizing means for each frame.
  5. The blocker image identification apparatus according to claim 1, wherein the determination means includes:

an area ratio determinator for determining that an area ratio determination condition is satisfied when a ratio of an area of a circumscribed rectangle to an area of the large region is within a first predetermined range;

a shape determinator for determining that a shape determination condition is satisfied when a ratio of a horizontal width to a vertical width of the large region is within a second predetermined range; and

a position determinator for determining that a position determination condition is satisfied when a vertical-direction coordinate of a center of the large region is located at a lower portion of an entire screen of the image signal.


  6. The blocker image identification apparatus according to claim 1, wherein the predetermined condition is a condition that the number of regions that the 2-dimensional continuous region detection means has detected in one frame is equal to or less than a predetermined number.
  7. The blocker image identification apparatus according to claim 1, further comprising detection range enlarging means for determining that a blocker part is present in a range of frames including a frame in which the determination means has determined that the large region is a blocker part and a predetermined range of frames prior to and subsequent to the frame.
  8. A blocker image identification apparatus for identifying a blocker in an image, the apparatus comprising:

blur level calculation means for calculating a blur level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

binarizing means for converting the calculated blur level into a binary value;

2-dimensional continuous region detection means for detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value of the binarizing means, for each frame;

large region extraction means for extracting, as a large region, a region having an area greater than a predetermined area, of regions detected by the 2-dimensional continuous region detection means; and

determination means for determining that the large region extracted by the large region extraction means is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  9. The blocker image identification apparatus according to claim 8, wherein the blur level calculation means includes frequency analysis means for performing frequency analysis on the image signal on a pixel by pixel basis or on a block by block basis, each block including a plurality of pixels, for each frame of the image signal, and calculates a ratio of a low frequency component power to a high frequency component power other than the low frequency component power, of a pixel or block as a blur level of the pixel or block in accordance with a result of the frequency analysis performed by the frequency analysis means.
  10. The blocker image identification apparatus according to claim 8, wherein the frequency analysis means performs 2-dimensional DCT or DFT on a block by block basis, each block including a plurality of pixels.
  11. The blocker image identification apparatus according to claim 8, wherein the 2-dimensional continuous region detection means performs a labeling process on the binary values output from the binarizing means for each frame.
  12. The blocker image identification apparatus according to claim 8, wherein the determination means includes:

an area ratio determinator for determining that an area ratio determination condition is satisfied when a ratio of an area of a circumscribed rectangle to an area of the large region is within a first predetermined range;

a shape determinator for determining that a shape determination condition is satisfied when a ratio of a horizontal width to a vertical width of the large region is within a second predetermined range; and

a position determinator for determining that a position determination condition is satisfied when a vertical-direction coordinate of a center of the large region is located at a lower portion of an entire screen of the image signal.


  13. The blocker image identification apparatus according to claim 8, wherein the predetermined condition is a condition that the number of regions that the 2-dimensional continuous region detection means has detected in one frame is equal to or less than a predetermined number.
  14. The blocker image identification apparatus according to claim 8, further comprising detection range enlarging means for determining that a blocker part is present in a range of frames including a frame in which the determination means has determined that the large region is a blocker part and a predetermined range of frames prior to and subsequent to the frame.
  15. A blocker image identification apparatus for identifying a blocker in an image, the apparatus comprising:

motion level calculation means for calculating a motion level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

first binarizing means for converting the calculated motion level into a binary value;

first 2-dimensional continuous region detection means for detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value of the first binarizing means, for each frame;

first large region extraction means for extracting, as a large region, a region having an area greater than a predetermined area, of regions detected by the first 2-dimensional continuous region detection means;

first determination means for determining that the large region extracted by the first large region extraction means is a blocker part based on at least one of an area ratio, a shape, and a position of the large region;

blur level calculation means for calculating a blur level on a pixel by pixel basis or on a block by block basis for each frame of the image signal;

second binarizing means for converting the calculated blur level into a binary value;

second 2-dimensional continuous region detection means for detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value of the second binarizing means, for each frame;

second large region extraction means for extracting, as a large region, a region having an area greater than a predetermined area, of regions detected by the second 2-dimensional continuous region detection means; and

second determination means for determining that the large region extracted by the second large region extraction means is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  16. The blocker image identification apparatus according to claim 15, further comprising determination result integration means for providing a final determination result when a predetermined condition is satisfied based on a result of the determination of the first determination means and a result of the determination of the second determination means.
  17. The blocker image identification apparatus according to claim 15, wherein the determination result integration means operates a logical sum of the determination result of the first determination means and the determination result of the second determination means.
  18. The blocker image identification apparatus according to claim 15, further comprising detection range enlarging means for determining that a blocker part is present in a range of frames including a frame in which the determination result integration means has determined that the large region is a blocker part and a predetermined range of frames prior to and subsequent to the frame.
  19. The blocker image identification apparatus according to claim 15, wherein the second determination means determines that the large region is a blocker part only in a range of frames enlarged by the detection range enlarging means.
  20. A blocker image identification method for identifying a blocker in an image, the method comprising:

a motion level calculation step of calculating a motion level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

a binarizing step of converting the calculated motion level into a binary value;

a 2-dimensional continuous region detection step of detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value in the binarizing step, for each frame;

a large region extraction step of extracting, as a large region, a region having an area greater than a predetermined area, of regions detected in the 2-dimensional continuous region detection step; and

a determination step of determining that the large region extracted in the large region extraction step is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  21. A blocker image identification method for identifying a blocker in an image, the method comprising:

a blur level calculation step of calculating a blur level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

a binarizing step of converting the calculated blur level into a binary value;

a 2-dimensional continuous region detection step of detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value in the binarizing step, for each frame;

a large region extraction step of extracting, as a large region, a region having an area greater than a predetermined area, of regions detected in the 2-dimensional continuous region detection step; and

a determination step of determining that the large region extracted in the large region extraction step is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  22. A computer readable program for performing a blocker image identification method for identifying a blocker in an image, the method comprising:

a motion level calculation step of calculating a motion level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

a binarizing step of converting the calculated motion level into a binary value;

a 2-dimensional continuous region detection step of detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value in the binarizing step, for each frame;

a large region extraction step of extracting, as a large region, a region having an area greater than a predetermined area, of regions detected in the 2-dimensional continuous region detection step; and

a determination step of determining that the large region extracted in the large region extraction step is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.


  23. A computer readable program for performing a blocker image identification method for identifying a blocker in an image, the method comprising:

a blur level calculation step of calculating a blur level on a pixel by pixel basis or on a block by block basis for each frame of an image signal;

a binarizing step of converting the calculated blur level into a binary value;

a 2-dimensional continuous region detection step of detecting a continuous region including adjacent pixels or blocks having a same binary value as an output value in the binarizing step, for each frame;

a large region extraction step of extracting, as a large region, a region having an area greater than a predetermined area, of regions detected in the 2-dimensional continuous region detection step; and

a determination step of determining that the large region extracted in the large region extraction step is a blocker part based on at least one of an area ratio, a shape, and a position of the large region.