Abstract: A predictor 62 predicts a future of a prediction target in a traffic area. The predictor 62 includes a movement state information acquirer 620 configured to acquire movement state information, a surrounding state information acquirer 621 configured to acquire surrounding state information, a traffic environment information acquirer 622 configured to acquire traffic environment information, a driver state information acquirer 623 configured to acquire driver state information, a traffic scene specifier 624 configured to specify a traffic scene on the basis of the movement state information, the surrounding state information, and the traffic environment information, an action pattern selector 625 configured to select, as a predicted action pattern, at least one from among a plurality of predetermined action patterns on the basis of the traffic scene and the driver state information, and an action predictor 626 configured to predict future action on the basis of the predicted action pattern.

Abstract: A rectangular source image formed by pixels in a two-axis coordinate system is transformed to a destination image by mapping vertices of the source image onto vertices of the destination image, then mapping edges of the destination image onto edges of the source image, mapping scan lines in the destination image onto the source image, and assigning to pixels on these scan lines the values of corresponding pixels in the source image. DDA algorithms are employed for the edge mapping and scan line mapping steps. This method enables arbitrary affine transformations, including combinations of a rotation with an enlargement or reduction, to be executed without introducing image defects.