Mammal posture recognition method based on body contour and leg joint skeleton

Abstract

The invention discloses a mammal posture recognition method based on a body contour and a leg joint skeleton, and the method comprises the two steps: 1, carrying out the edge extraction of a wild mammal image in a complex field environment through Outline Mask R-CNN, and obtaining an animal peripheral contour; and based on the contour map, constructing a Tiny VGG light convolutional neural networkfor posture classification of the wild mammal. In the second part, for a wild mammal video sequence in a complex field environment, LEAP is used for rapidly tracking the positions of animal leg jointpoints, and a skeleton diagram is formed; the method is characterized in that changes of leg joint included angles in an animal skeleton diagram serve as features, LSTM serves as a classifier, and the method is used for posture classification of wild mammals. Finally, results obtained by the two models are fused, different postures of the wild mammal are further recognized to achieve the purposeof distinguishing simple daily behaviors of animals, and the method has a certain application prospect.

Description

technical field [0001] The invention relates to a posture recognition method, in particular to an animal posture recognition method which combines animal body contours and leg joint angle changes. Background technique [0002] In the prior art, gesture recognition refers to automatically identifying the gesture information of the research object through static image or video information, using key technologies such as moving target detection, feature information extraction and behavior analysis. [0003] Animal gesture recognition can predict its life dynamics and physical conditions, and is widely used in animal welfare, disease prevention, and bionics research. The classification of animal poses refers to the design of specific feature descriptors (such as color, texture, shape, edge, space, etc.), and then constitutes a feature vector as input, and trains a classifier through machine learning methods to input the feature vectors that need to be identified. This classifie...

AI Technical Summary

Problems solved by technology

[0006] The problem to be solved by the present invention is that most of the existing research objects of animal posture recognition are docile domesticated animals or laboratory animals, and the adopted methods cannot solve problems such as illumination, occlusion, and viewing angle changes that exist in different complex scenes. Well solved, requires large datasets and is not generalizable

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