Claims Analysis
Total Claims: 9
Claim 1
Independent Claim
352 words
A circuit arrangement for recognizing a human face in a sequence of video pictures, each picture comprising a plurality of picture elements, wherein said sequence of video pictures is structured into blocks of said picture elements, respective blocks of two consecutive video pictures are subtracted from one another so as to form a difference picture comprising a plurality of difference blocks each comprising a plurality of picture elements each having a standard value, said standard values of said difference picture elements of each of said difference picture blocks are summed so as to form respective standard value sums, and said difference picture is mapped onto a status picture formed by status bits by comparing the standard value sum of each of said difference blocks to at least one threshold value and mapping those of said difference blocks having a standard value sum exceeding said at least one threshold value onto a status bit having a first binary value, and mapping those of said difference blocks having a standard value sum not exceeding said at least one threshold onto a status bit having a second binary value which is inverse to said first binary value, said circuit arrangement comprising: a) transforming means for transforming a first area of said status picture comprising first status bits having said first binary value into a unidimensional feature function in such a manner that the total number of these status bits within a line or a column of the status picture is determined; b) convolution means for standardizing said unidimensional feature function by convoluting said feature function with a second function so as to form a convolution integral and to supply a recognition signal when said current convolution integral corresponds to ideal values within predetermined tolerance limits; and c) marking means for determining, when said recognition signal is present, the center point of each line of said first area of said status picture so as to determine a vertical center axis, and to mark a plurality of points of said status picture located within a predetermined face area, which is cut in half by said center axis.
Claim 2
Dependent Claim
352 words
A circuit arrangement for recognizing a human face in a sequence of video pictures, each picture comprising a plurality of picture elements, wherein said sequence of video pictures is structured into blocks of said picture elements, respective blocks of two consecutive video pictures are subtracted from one another so as to form a difference picture comprising a plurality of difference blocks each comprising a plurality of picture elements each having a standard value, said standard values of said difference picture elements of each of said difference picture blocks are summed so as to form respective standard value sums, and said difference picture is mapped onto a status picture formed by status bits by comparing the standard value sum of each of said difference blocks to at least one threshold value and mapping those of said difference blocks having a standard value sum exceeding said at least one threshold value onto a status bit having a first binary value, and mapping those of said difference blocks having a standard value sum not exceeding said at least one threshold onto a status bit having a second binary value which is inverse to said first binary value, said circuit arrangement comprising: a) transforming means for transforming a first area of said status picture comprising first status bits having said first binary value into a unidimensional feature function in such a manner that the total number of these status bits within a line or a column of the status picture is determined; b) convolution means for standardizing said unidimensional feature function by convoluting said feature function with a second function so as to form a convolution integral and to supply a recognition signal when said current convolution integral corresponds to ideal values within predetermined tolerance limits; and c) marking means for determining, when said recognition signal is present, the center point of each line of said first area of said status picture so as to determine a vertical center axis, and to mark a plurality of points of said status picture located within a predetermined face area, which is cut in half by said center axis.
Claim 3
Dependent Claim
48 words
A circuit arrangement as claimed in claim 1, wherein first filter means are provided, to change the status picture such that a status bit having the first binary value is inverted when the number of adjacent status bits having the same binary value is below a predetermined threshold.
Claim 4
Dependent Claim
41 words
A circuit arrangement as claimed in claim 1, further comprising: smoothing means for changing the status picture such that corresponding status bits of at least two consecutive pictures are combined into one new status bit by a logic OR- combining operation.
Claim 5
Dependent Claim
18 words
A circuit arrangement as claimed in claim 1, further comprising: second filter means for changing the status bit.
Claim 6
Dependent Claim
24 words
A circuit arrangement as claimed in claim 1, further comprising: median-filter means for smoothing a one-dimensional feature function by means of a median filtering.
Claim 7
Dependent Claim
66 words
A circuit arrangement as claimed in claim 1, further comprising: means provided for dividing the areas of a video picture corresponding to face areas into a consecutively numbered number of regions wherein 6a) the picture elements of a region are all included in the same class of picture data, and which are provided for, 6b) determining the size and the centres of gravity of these regions.
Claim 8
Dependent Claim
22 words
A circuit arrangement as claimed in claim 6, further comprising: means for: determining the distance of a triplet from centres of gravity.
Claim 9
Dependent Claim
50 words
A circuit arrangement as claimed in claim 7, further comprising: means for checking at least two consecutively determined optimum triplets to see whether they agree within predetermined tolerance limits, and if there is agreement, for determining all those picture elements which according to reference data belong to a human face.