An information processing method in an information processing system including a first local feature storing unit that is configured to store, in association with each other, a search object and m-number of first local features which are respectively constituted by a feature vector of 1 dimension to i dimensions and which are generated for each of m-number of local areas including each of m-number of feature points in an image of the search object, the method comprising the steps of:
- extracting n-number of feature points from an image of a video captured by first imaging unit and generating n-number of second local features respectively constituted by a feature vector of 1 dimension to j dimensions for n-number of local areas including each of the n-number of feature points;
- and
- selecting a smaller number of dimensions among the number of dimensions i of the feature vector of the first local feature and the number of dimensions j of the feature vector of the second local feature, and recognizing that the search object exists in the image in the video when determining that a prescribed ratio or more of the m-number of first local features constituted by a feature vector up to the selected number of dimensions corresponds to the n-number of second local features constituted by a feature vector up to the selected number of dimensions.