CPC G06T 7/248 (2017.01) [G06F 18/22 (2023.01); G06V 10/751 (2022.01); H04N 23/632 (2023.01); G06T 2200/24 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/20132 (2013.01); G06V 10/759 (2022.01)] | 24 Claims |
1. A processor-implemented method of tracking a target object, comprising:
extracting a feature from frames of an input image;
selecting a neural network model from among a plurality of neural network models provided in advance based on a feature value range, based on a feature value of a target object that is included in the feature of a previous frame among the frames; and
generating a bounding box of the target object included in a current frame among the frames, based on the selected neural network model.
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