Patent ID: 11961301
Assignee: SMARTINSIDE AI INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An image-based object recognition method, by which a learning server performs image-based object recognition based on learning of environment variable data, comprising:
receiving an image acquired through one or more cameras and segmenting the image on a per-frame basis;
primarily learning labeling results for one or more objects in the image segmented on a per-frame basis;
performing object detection in the image through a model obtained from the primary learning and generating first boxes for regions in which objects are present in the image;
allocating a weight to labeled data according to a reliability of the labeled data in the shape of each of the first boxes generated from the performing object detection;
performing secondary learning for the results of the performing object detection with weights allocated thereto; and
finally detecting one or more objects in the image through a model generated from the performing secondary learning,
wherein the allocating a weight comprises calculating each of the weights to be applied to the respective first boxes based on values that are obtained based on an overlap area between a corresponding one of the first boxes obtained in the performing object detection and a second box most closely matching a truth, a distance between a centroid of the first box and a centroid of the second box, and an aspect ratio of the first box.