CPC G06V 20/17 (2022.01) [G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 10/774 (2022.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01)] | 16 Claims |
1. An object identification apparatus comprising:
a first memory storing instructions; and
one or more first processors configured to execute the instructions to:
perform foreground extraction with respect to input images, and generate a foreground extraction result;
extract 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;
select 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
identify a moving object included in the input images by using the selected one or more identification models.
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