Based on the result of the above determination, the person extraction unit 10 calculates an appearance frequency for each person (for each person ID) detected in the moving image data to be analyzed. As the appearance frequency, for example, the number of appearances (the number of time windows in which a person appears) or an appearance rate (=(the number of time windows in which a person appears)/(the number of time windows in the moving image data 100 to be analyzed)) may be considered.

After calculating the appearance frequency, the person extraction unit 10 extracts a person (person ID) satisfying a predetermined condition based on the calculated appearance frequency. As the predetermined condition, any condition expressing a high appearance frequency may be adopted. For example, the predetermined condition may be “an appearance frequency of equal to or higher than a predetermined level”. Specifically, “the number of times of appearances of equal to or higher than a predetermined number” and “an appearance rate of equal to or higher than a predetermined rate” may be used.

In addition, the predetermined condition may be “a predetermined number of persons in descending order of appearance frequency”. Specifically, the predetermined condition may be “within a predetermined rank in the ranking in descending order of appearance frequency”. The exemplified predetermined conditions are examples and the present invention is not limited thereto.

Returning to FIG. 2, the output unit 20 outputs information regarding a person extracted by the person extraction unit 10. The output unit is not particularly limited, and is implemented through any output apparatus, such as a display, a printer, and a mailer.