A pig behavior recognition method and device based on video images

Abstract

Embodiments of the present invention provide a pig behavior recognition method and device based on video images. By tracking the target of the pig, the behavior characteristics of the pig are extracted, which has the characteristics of fast speed and high detection rate, and can process video tracking in real time, HOG, HOF The four features of MBH and Dense Trajectory can greatly describe the underlying semantic features of the target's behavior. The Naive Bayesian Nearest Neighbor Algorithm (NBNN) effectively avoids the quantization error caused by feature quantization in the visual bag-of-words model, and can naturally It can effectively deal with the classification problem of a large amount of data and effectively avoid over-fitting.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of video image processing, in particular to a method and device for recognizing pig behavior based on video images. Background technique [0002] my country is the largest producer and consumer of pork in the world. In recent years, the scale of pig farming in my country has continued to expand. Although the pig breeding industry has developed rapidly, the quality and efficiency of the pig breeding has not been improved. Compared with developed countries, the human cost of pig breeding in my country is too high. The behavioral characteristics of pigs, such as feeding, drinking, lying still, excreting, walking and running, reflect the growth status of pigs. At present, the analysis of the health status of pigs in my country mainly depends on manual observation. This work is time-consuming and laborious. The cost is not conducive to the efficient production of pigs. [0003] Existing vid...

AI Technical Summary

Problems solved by technology

Although the pig farming industry has developed rapidly, the quality and efficiency of the pig farming has not been improved. Compared with developed countries, the human cost of pig farming in my country is too high

The behavioral characteristics of pigs, such as feeding, drinking, lying still, excreting, walking and running, reflect the growth status of pigs. At present, the analysis of the health status of pigs in my country mainly depends on manual observation. This work is time-consuming and laborious. Cost, not conducive to efficient pig production

[0003] Existing video image recognition technologies mainly focus on human behavior recognition, and there are few systematic methods mainly aimed at pig behavior recognition

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