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Animal detection method based on entropy and motion offset

A detection method and offset technology, applied in the field of image recognition, can solve the problems of not considering the relationship between video time series and low detection accuracy, and achieve the effect of improving stability and accuracy

Active Publication Date: 2019-04-19
CHONGQING UNIV OF TECH
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Problems solved by technology

Although the above deep learning-based animal detection methods have achieved good research results, when detecting animals on videos, they do not consider the unique time series relationship of videos, and the detection accuracy is low.

Method used

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  • Animal detection method based on entropy and motion offset
  • Animal detection method based on entropy and motion offset
  • Animal detection method based on entropy and motion offset

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the drawings.

[0031] Such as figure 1 As shown, the present invention discloses an animal detection method based on entropy and motion offset, including the following steps:

[0032] S1. Acquire a video sequence image, the video sequence image includes a current frame image and a previous queue image, and the previous queue image includes multiple consecutive images before the current frame image, execute S2;

[0033] S2. Detect the current frame image and the previous queue image based on the YOLOv3 model to obtain the detection information of the current frame image and the previous queue image. The detection information includes detection score, animal category information and animal position information, and execute S3;

[0034] S3. If the detection score of the current frame image is greater than or equal to the score threshold, execute S6; otherwise, execute S4;

[0035] S4. Calculate the ...

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Abstract

The invention discloses an animal detection method based on entropy and motion offset. based on the existing YOLOv3 model, carrying out preliminary detection judgment on the current frame image; and if the current frame of image fails to be detected in case of shielding in the image, determining the animal type information of the current frame of image through the previous queue of image with theminimum entropy, and calculating the animal position information of the current frame of image through a plurality of previous queue of images. Therefore, the animal detection of the shielded image isrealized, and the stability and accuracy of real-time animal detection are improved.

Description

Technical field [0001] The present invention relates to the field of image recognition, in particular to an animal detection method based on entropy and motion offset. Background technique [0002] Real-time animal detection is an important research direction in the field of machine vision, and its application scope covers many fields such as security, industry, and automobile assisted driving. Apply real-time animal detection to the animal field, record the daily behavior and life rules of animals, to assist scientific research, so as to better protect precious or endangered animals, better protect complex ecosystems, and avoid occurrence of damage caused by an animal. Destruction caused an adverse chain reaction. However, in the process of real-time animal detection of animals, the stability and accuracy of animal detection will be reduced due to the effects of motion blur, morphological changes, illumination, complex background and occlusion of other objects. Among them, sol...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/41G06V2201/07
Inventor 朱小飞陈建促王越李章宇林志航
Owner CHONGQING UNIV OF TECH
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