Information processing apparatus, information processing method, and program

An information processing method for an information processing apparatus grouping image patterns corresponding to a same object, the method comprising the steps of:

• by the information processing apparatus,
• calculating a characteristic amount for each of a plurality of n different image patterns;
• specifying a best-matching image pattern among the plurality of n image patterns for each of frames forming a learning moving picture and having temporal continuity;
• computing a collocation probability Pij indicating a probability that, for a frame located at a position where a temporal distance to a frame for which a first image pattern Xi is specified among the plurality of n image patterns is within a predetermined threshold τ, a second image pattern Xj is specified among the plurality of n image patterns;
• and
• grouping the plurality of n image patterns by using the computed collocation probability Pij.

A non-transitory computer readable medium storing a program for controlling an information processing apparatus grouping image patterns corresponding to a same object, the program causing a computer of the information processing apparatus to perform a process comprising the steps of:

• calculating a characteristic amount for each of a plurality of n different image patterns;
• specifying a best-matching image pattern among the plurality of n image patterns for each of frames forming a learning moving picture and having temporal continuity;
• computing a collocation probability Pij indicating a probability that, for a frame located at a position where a temporal distance to a frame for which a first image pattern Xi is specified among the plurality of n image patterns is within a predetermined threshold τ, a second image pattern Xj is specified among the plurality of n image patterns;
• and
• grouping the plurality of n image patterns by using the computed collocation probability Pij.

An information processing apparatus comprising:

• a characteristic amount calculating unit calculating a characteristic amount for each of a plurality of n different image patterns;
• a specifying unit specifying a best-matching image pattern among the plurality of n image patterns for each of frames forming a learning moving picture and having temporal continuity;
• a computing unit computing a collocation probability Pij indicating a probability that, for a frame located at a position where a temporal distance to a frame for which a first image pattern Xi is specified among the plurality of n image patterns is within a predetermined threshold τ, a second image pattern Xj is specified among the plurality of n image patterns;
• and
• a grouping unit grouping the plurality of n image patterns by using the computed collocation probability Pij.