Patent ID: 9152845
Filing Date: 2015-10-06
Classification: G06K,G06T

Abstract:
1. A human attribute estimation system being communicably connected to an other human attribute estimation system comprising a second camera, the human attribute estimation system comprising: a first camera photographing a human target of attribute estimation and generating an image, the first camera being installed at a predetermined place; an attribute estimating section estimating an attribute of the human shown in the image generated by the first camera using an estimation parameter; an environment-dependent attribute estimating section estimating a first environment-dependent attribute, which is an attribute dependent on an installation environment of the first camera, from test learning data which includes multiple test face images each of which is taken in a state that the first camera is installed at the predetermined place; an environment-dependent attribute comparing section comparing an environment-dependent attribute of initial learning data used at the time of generating the estimation parameter with an environment-dependent attribute of the test learning data to send a request for external learning data to the other human attribute estimation system, the external learning data having a distribution of an environment-dependent attribute which does not exist in the initial learning data and exists in the test learning data; and a learning data acquiring section acquiring the external learning data from the other human attribute estimation system via communication, the external learning data being generated using images photographed by the second camera which installation environment is similar to that of the first camera and having a second environment-dependent attribute which is close to the first environment-dependent attribute, so that it meets a predetermined criteria, wherein the attribute estimating section uses a parameter being updated by relearning on a basis of data including the initial learning data and the external learning data, as the estimation parameter.