Identification apparatus, object identification method, learning apparatus, learning method, and recording medium

An object identification method performed by a computer and comprising:

• by performing foreground extraction with respect to input images, and generating a foreground extraction result;
• extracting a state of a foreground of each input image based on the foreground extraction result, wherein the state includes a movement trajectory feature, an area variation feature, and an appearance feature of the foreground;
• selecting one or more identification models based on the extracted state by using a selection model, wherein the selection model receives the state and outputs a likelihood to select each identification model, and wherein the selection model is trained using correct answer data having a value indicating the identification model to be used to identify a foreground of each of training input images;
• and
• identifying a moving object included in the input images by using the selected one or more identification models.

A non-transitory computer-readable recording medium storing a program executable by a computer to perform an object identification process comprising:

• by performing foreground extraction with respect to input images, and generating a foreground extraction result;
• extracting a state of a foreground of each input image based on the foreground extraction result, wherein the state includes a movement trajectory feature, an area variation feature, and an appearance feature of the foreground;
• selecting one or more identification models based on the extracted state by using a selection model, wherein the selection model receives the state and outputs a likelihood to select each identification model, and wherein the selection model is trained using correct answer data having a value indicating the identification model to be used to identify a foreground of each of training input images;
• and
• identifying a moving object included in the input images by using the selected one or more identification models.