15. A non-transitory computer readable medium storing computer readable instructions that, when executed by a computer, cause the computer to perform a process, the process comprising: extracting a feature quantity from a feature point of each learning image of a plurality of learning images, the plurality of learning images including a first learning image including a detection target and a second learning image not including the detection target; acquiring, from an external device, a transfer classifier for detecting the detection target; calculating a classification result of the detection target according to a weak classifier for each learning image by substituting the extracted feature quantity that corresponds to the weak classifier into the weak classifier with respect to each of a plurality of weak classifiers constituting the transfer classifier; and generating a classifier using the transfer classifier and the weak classifier selected from the plurality of weak classifiers based on the classification result of each of the plurality of weak classifiers.
15. A non-transitory computer readable medium storing computer readable instructions that, when executed by a computer, cause the computer to perform a process, the process comprising: extracting a feature quantity from a feature point of each learning image of a plurality of learning images, the plurality of learning images including a first learning image including a detection target and a second learning image not including the detection target; acquiring, from an external device, a transfer classifier for detecting the detection target; calculating a classification result of the detection target according to a weak classifier for each learning image by substituting the extracted feature quantity that corresponds to the weak classifier into the weak classifier with respect to each of a plurality of weak classifiers constituting the transfer classifier; and generating a classifier using the transfer classifier and the weak classifier selected from the plurality of weak classifiers based on the classification result of each of the plurality of weak classifiers. 20. The non-transitory computer readable medium according to claim 15 , wherein the detection target is a hand, and the process differentiates between hand orientations.