Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, 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 primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, 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 primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: Disclosed is a method and system for monitoring a separation anxiety of a pet that may recognize an activity of the pet using a support vector machine (SVM) based on pet-related data acquired from a sensor, and may determine whether the pet is in a separation anxiety state by analyzing input data that is the recognized activity of the pet using a complex event processing (CEP).

Abstract: Disclosed is a method and system for monitoring a separation anxiety of a pet that may recognize an activity of the pet using a support vector machine (SVM) based on pet-related data acquired from a sensor, and may determine whether the pet is in a separation anxiety state by analyzing input data that is the recognized activity of the pet using a complex event processing (CEP).