Supercharge Your Innovation With Domain-Expert AI Agents!

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
View PDF8 Cites 3 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com