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Fish School Individual Target Tracking Method Based on Visual Attention Model

A target tracking and attention technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as inability to achieve real-time tracking, technical difficulties in water quality monitoring systems, etc.

Active Publication Date: 2019-04-09
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

None of the existing fish tracking systems can achieve real-time tracking, which brings great technical difficulties to the water quality monitoring system based on group behavior

Method used

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  • Fish School Individual Target Tracking Method Based on Visual Attention Model
  • Fish School Individual Target Tracking Method Based on Visual Attention Model
  • Fish School Individual Target Tracking Method Based on Visual Attention Model

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings.

[0056] refer to Figure 1 to Figure 6 , a fish target tracking method based on selective attention, including the following steps:

[0057] 1) Take the crucian carp group (4 to 8) as the monitoring object, and obtain the real-time video of the behavior of the fish group through the camera, so as to realize the real-time monitoring of each individual in the group ( figure 1 ). First, take tracking one target fish in the fish school as an example to describe the algorithm flow.

[0058] 2) Algorithm initialization, manually obtain the initial outline of the target fish and track the fish's field of view.

[0059] 2.1) Get the initial profile f of the target fish 0 . First, pause the playback of the current video stream to obtain the outline of the target fish in the current frame. To this end, manually find the target fish in the current frame, and click any point ...

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Abstract

A method for real-time detection and tracking of fish targets based on computer vision, comprising the following steps: 1) using crucian carp as a biological detection object to monitor it in real time; 2) manually obtaining the initial outline of the target fish and tracking the fish's field of view; 3) Extraction and matching tracking of the target fish outline; 3.1) Calculating a new attention area based on the target fish outline at the previous moment; 3.2) Searching for the outline of the target fish according to the target fish attention area; 3.2.1) Cohesion of the target fish attention area class and find the target fish category; 3.2.2) further match and track the fish targets detected by clustering. Advantages of the present invention: the group target tracking algorithm of the present invention can not only track fish targets within an area in real time, but also accurately track targets when interactive blocking occurs in the tracking target, thereby effectively avoiding identity loss and exchange.

Description

technical field [0001] The invention relates to the application of biological water quality detection, and proposes a method for real-time tracking of individual targets in fish schools by simulating a visual attention mechanism. Background technique [0002] Under normal water quality, aquatic organisms (such as fish) behave in a fixed pattern. When the water environment in which the fish lives changes, its behavior will also show abnormalities. For example, existing studies have shown that adding agents (such as glyphosate, heavy metals, and synthetic drugs) to the water environment where fish live can cause abnormal changes in behavioral parameters such as swimming speed, breathing rate, and tail swinging frequency. Therefore, by monitoring the abnormal behavior of fish in the water environment, an early warning can be given for abnormal water quality. [0003] This type of biological water quality early warning system often automatically collects the behavior of fish i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/42G06V20/52G06V2201/07G06V20/05
Inventor 程振波邵腾飞肖刚黄斌高晶莹朱天奇李轶陈明明
Owner ZHEJIANG UNIV OF TECH