URBAN PET MOVEMENT TRAJECTORY MONITORING METHOD BASED ON IMAGE RECOGNITION AND RELATED DEVICES

摘要

The present application relates to the technical field of artificial intelligence, and provides an urban pet movement trajectory monitoring method and apparatus based on image recognition, and a terminal and a storage medium. The method comprises: obtaining a pet image acquired by a preset image acquisition device; identifying a pet category in the pet image; when the pet category is a target category, identifying a pet posture in the pet image; extracting a feature vector in the pet image according to a feature extraction algorithm corresponding to the pet posture; using an optical flow algorithm to correct the feature vector to obtain a target feature vector; comparing whether the target feature vector is consistent with a feature vector in a preset database or not; if the comparison result is consistent, associating and storing identification information of the pet image and acquisition information of the preset image acquisition device; obtaining acquisition information corresponding to the pet images with the same identification information; and determining the movement trajectory of the pet according to the acquired information. The present application can be applied to the field of smart cities, and can monitor the movement trajectory of a pet in a city.