A method for recording fish activity tracks in an aquarium

Abstract

The invention discloses an aquarium fish activity track record method. Based on the image technology, the method includes: acquiring fish image samples; acquiring images and matching the fish image samples with the acquired images to acquire matching areas; determining areas where fish is located, centre-of-gravity position and orientation of the fish through the positions of the matching areas; acquiring activity tracks and moving speed and direction of the fish by acquiring the centre-of-gravity positions of the fish at different moments. With the method, centre-of-gravity positioning and moving tracks of the fish are recorded, and the moving speed, direction and orientation of the fish are determined.

Description

technical field [0001] The invention relates to the field of fish activity tracks in fish tanks, in particular to a method for recording fish activity tracks in a fish tank based on image technology. Background technique [0002] In fish scientific research, such as scientific experiments in the fields of fish feeding, fish behavior and fish physiology, it is often necessary to accurately monitor, quantify and record fish activities and behavioral parameters, such as fish position Coordinates, trajectory, and swimming speed. At present, the conventional research methods of fish behavior mainly include the following two methods: 1. Direct observation method: Experimenters obtain and analyze the behavior of fish artificially by directly observing or watching recorded fish activity videos. This method requires a lot of time and effort of the experimenter, and it is difficult to accurately quantify the behavioral data of the fish. 2. Tag implantation method: PIT or RFID marker...

AI Technical Summary

Problems solved by technology

The existing Chinese patent name is computer vision-based underwater fish, shrimp and crab seedling quantity estimation and behavior monitoring device and method (application number is 201410007771.3). This invention uses image processing technology to estimate the number of fish, shrimp and crab seedlings in the breeding pond , density and its phototaxis ability, but the device did not monitor and record the activity track of fish, shrimp and crab larvae

The existing Chinese patent name is a method for detecting and tracking zebrafish shoals based on computer vision (application number 201410213890.4). This invention uses computer vision technology to detect and track zebrafish shoals, but they are all based on shoals. Individual fish are not identified, tracked and behaviorally recorded

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