An image processing equipment for performing kernel discriminant analysis based on a photographed image of an object, characterized by: an input feature vector generation unit for generating (Step 6), based on data related to the image, an input feature vector (u) including as elements a size of the object, a side portion shape of the object, and an upper portion shape of the object wherein the photographed image corresponds to a stereo image which is obtained using a stereo camera; a discriminant analysis operations unit for generating a vector mapped to a discriminant space (Step 8), through performing the operations for kernel discriminant analysis based on the input feature vector (u); an object determination unit for obtaining a determination result whether the object is a pedestrian or not (Steps 10, 5) depending on whether or not the vector mapped to the discriminant space exists within a fixed area at the discriminant space (Step 21), wherein the fixed area is obtained by mapping a training data of the pedestrian to the discriminant space; a score accumulation unit for accumulating fixed scores for the same object appearing at a series of plural frames, wherein the fixed score expresses a likeness of the object to a pedestrian in a single frame and depends on the determination result obtained by the object determination unit; and a score judgment unit for judging whether the same object at the plural frames is a pedestrian or not (Steps 40, 41), based on the accumulated score, wherein at respective sections obtained by dividing with a fixed width in a horizontal direction, an area in which the object was photographed, the upper portion shape of the object is characterized through representative values (j max [i k]) of the object's lengths in a vertical direction from a bottom edge of the area to a top edge of the object, at respective sections obtained by dividing at a fixed width in a vertical direction, the area in which the concerned object was photographed, the side portion shape of the object is characterized through representative values (i left [j 1]) of the object's lengths in a horizontal direction, from a right edge of the area to a left edge of the object, and through representative values (i right [j 1]) of the object's lengths from a left edge of the area to a right edge of the object, and the size of the object includes an absolute size width and an absolute size length, calculated based on an area in which the concerned object was photographed and on a distance to the concerned object. an input feature vector generation unit for generating (Step 6), based on data related to the image, an input feature vector (u) including as elements a size of the object, a side portion shape of the object, and an upper portion shape of the object wherein the photographed image corresponds to a stereo image which is obtained using a stereo camera; a discriminant analysis operations unit for generating a vector mapped to a discriminant space (Step 8), through performing the operations for kernel discriminant analysis based on the input feature vector (u); an object determination unit for obtaining a determination result whether the object is a pedestrian or not (Steps 10, 5) depending on whether or not the vector mapped to the discriminant space exists within a fixed area at the discriminant space (Step 21), wherein the fixed area is obtained by mapping a training data of the pedestrian to the discriminant space; a score accumulation unit for accumulating fixed scores for the same object appearing at a series of plural frames, wherein the fixed score expresses a likeness of the object to a pedestrian in a single frame and depends on the determination result obtained by the object determination unit; and a score judgment unit for judging whether the same object at the plural frames is a pedestrian or not (Steps 40, 41), based on the accumulated score, wherein at respective sections obtained by dividing with a fixed width in a horizontal direction, an area in which the object was photographed, the upper portion shape of the object is characterized through representative values (j max [i k]) of the object's lengths in a vertical direction from a bottom edge of the area to a top edge of the object, at respective sections obtained by dividing at a fixed width in a vertical direction, the area in which the concerned object was photographed, the side portion shape of the object is characterized through representative values (i left [j 1]) of the object's lengths in a horizontal direction, from a right edge of the area to a left edge of the object, and through representative values (i right [j 1]) of the object's lengths from a left edge of the area to a right edge of the object, and the size of the object includes an absolute size width and an absolute size length, calculated based on an area in which the concerned object was photographed and on a distance to the concerned object.