Urban pet movement track monitoring method based on image recognition and related equipment

Abstract

The invention provides an urban pet movement track monitoring method based on image recognition. The urban pet movement track monitoring method comprises the following steps: acquiring a pet image acquired by preset image acquisition equipment; 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; correcting the feature vector by adopting an optical flow algorithm to obtain a target feature vector; comparing whether the target feature vector is consistent with a feature vector in a preset database or not; when the comparison result is consistent, associating and storing the identification information of the pet image and the acquisition information of the preset image acquisition equipment; acquiring acquisition information corresponding to the pet images with the same identification information; and determining the movement track of the pet according to the acquired information. The invention further provides an urban pet movement track monitoring device based on image recognition,a terminal and a storage medium. According to the invention, the movement track of a pet in a city can be monitored.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a method, device, terminal and storage medium for monitoring urban pet activity tracks based on image recognition. Background technique [0002] In recent years, with the improvement of people's living standards, more and more urban residents keep pets. When human beings enjoy the material and spiritual satisfaction brought by pets, they should also treat animals well to promote the harmonious coexistence between humans and animals, which is also in line with the construction of wisdom. City concept. [0003] In the prior art, the tracking of the activity track of urban pets is mainly to identify the moving target through the analysis of video surveillance, so as to record the moving process of the target, which is convenient for tracking and analysis. However, most of the pets are cats and dogs. These pets are more active and run faster. Using video surveillance to ana...

AI Technical Summary

Problems solved by technology

However, most of the pets are cats and dogs. These pets are more active and run faster. Using video surveillance to analyze the data collected by multiple cameras, use the same method to extract the feature vectors in the static pictures obtained. However, the posture of the pet is not considered, so the comparison based on the extracted feature vectors leads to poor pet recognition effect and low recognition efficiency, which brings great difficulties to target tracking and analysis, which in turn affects the later detection of pet activity trajectories. Tracking and Analysis

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