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Fish group individual target tracking method based on visual attention model

A target tracking and attention technology, applied in character and pattern recognition, instruments, computing, etc., can solve the technical difficulties of water quality monitoring system, the inability to achieve real-time tracking and other problems

Active Publication Date: 2017-03-22
ZHEJIANG UNIV OF TECH
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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 group individual target tracking method based on visual attention model
  • Fish group individual target tracking method based on visual attention model
  • Fish group individual target tracking method based on visual attention model

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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

The invention provides a fish target real-time tracking method based on computer vision. The method comprises the steps of (1) carrying out real-time monitoring of a crucian as a biological detection object, (2) manually obtaining the initial contour of a target fish and tracking the field of view of the fish, (3) carrying out the extraction of the contour of the target fish and matching tracking, (3.1) calculating a new attention area according to the target fish contour of a former time, (3.2) searching the contour of the target fish according to the attention region of the target fish, (3.2.1) carrying out clustering in the target fish attention area and searching a target fish category, and (3.2.2) carrying out further matching tracking on the fish target detected by clustering. The method has the advantages that the fish target in the region range can be tracked in real time according to the group target tracking algorithm, when the tracking target is in interacting blocking, the target still can be accurately tracked, and thus the identify loss and exchange can be effectively avoided.

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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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
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