Abstract: The present invention is to provide an attribute determining method, an attribute determining apparatus, a program, a recording medium, and an attribute determining system of high detection accuracy with which an attribute of a person can be determined even in the case where a person is not facing nearly the front. The attribute determining method of the present invention comprises: an image acquiring step (S11) of acquiring an image to be determined; a head region detecting step (S21) of detecting a head region from the image to be determined; and an attribute determining step (S22) of determining an attribute based on an image of the head.

Abstract: A human tracking apparatus and method capable of highly accurately tracking the movement of persons photographed in moving images includes: an image memory 107 that stores an inputted frame image; a human detecting unit 101 that detects persons photographed in the inputted frame image; a candidate registering unit 106 that registers already detected persons as candidates; a similarity index calculating unit 102 that calculates similarity indices indicating the similarity between the persons detected in the inputted frame image and the registered candidates for two or more types of parameters based on the stored frame images in relation to all combinations of the persons and the candidates; a normalizing unit 103 that normalizes the similarity indices; an integrating unit 104 that integrates the normalized indices for each combination of the detected persons and the candidates; and a tracking unit 105 that identifies a person the same as an arbitrary candidate based on the similarity indices.

Abstract: Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of reducing the labor of labeling the image data used for age estimation. An age estimation apparatus for estimating an age of a person on image data includes a dimension compression unit for applying dimension compression to the image data to output low dimensional data; a clustering unit for performing clustering of the low dimensional data outputted; a labeling unit for labeling representative data of each cluster among the low dimensional data clustered; and an identification unit for estimating an age of a person on the basis of a learning result using a feature amount contained in labeled low dimensional data and unlabeled low dimensional data.

Abstract: Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of obtaining a recognition result closely matching the result perceived by human. An age estimation apparatus 10 for estimating an age of a person on image data includes a dimension compressor 11 for applying dimension compression to the image data to output low dimensional data; and an identification device 12 for estimating an age of a person on the basis of a learning result using a feature amount contained in the low dimensional data, wherein a parameter used for the dimension compression by the dimension compressor 11 and the feature amount used for age estimation by the identification device 12 are set on the basis of a result of an evaluation of a generalization capability using a weighting function that shows a degree of seriousness of an age estimation error for every age, and learning of the identification device 12 is performed on the basis of the weighting function.

Abstract: The object is to provide a tallying system, a tallying apparatus and a tallying method which are capable of tallying characteristics of non-users who have not perform predetermined use among visitors in a predetermined place.

Abstract: A human tracking apparatus and method capable of highly accurately tracking the movement of persons photographed in moving images includes: an image memory 107 that stores an inputted frame image; a human detecting unit 101 that detects persons photographed in the inputted frame image; a candidate registering unit 106 that registers already detected persons as candidates; a similarity index calculating unit 102 that calculates similarity indices indicating the similarity between the persons detected in the inputted frame image and the registered candidates for two or more types of parameters based on the stored frame images in relation to all combinations of the persons and the candidates; a normalizing unit 103 that normalizes the similarity indices; an integrating unit 104 that integrates the normalized indices for each combination of the detected persons and the candidates; and a tracking unit 105 that identifies a person the same as an arbitrary candidate based on the similarity indices.

Abstract: An attribute estimation system and a method in which there are no cases that the estimation accuracy declines in a specific numerical value area, and an age estimation system, a gender estimation system and an age and gender estimation system using this is provided. It is a system to estimate an age of a person photographed in an input image, the system including: a classifier 3 that estimates the age of a person as a discrete quantity based on data of an input image; a classifier 4 that estimates the age of a person as a continuous quantity based on data of an input image; and an integration unit 7 that integrates an estimated result of the classifier 3 and an estimated result of the classifier 4.