Fish Tracking with Computer Vision Techniques

2017 ◽  
pp. 74-104
Author(s):  
Alvaro Rodriguez ◽  
Angel Jose Rico-Diaz ◽  
Juan R. Rabuñal ◽  
Marcos Gestal
Keyword(s):  
Computer Vision ◽  
Fish Passage ◽  
Fish Behavior ◽  
Hydraulic Structures ◽  
Upstream Migration ◽  
Camera System ◽  
New Approach ◽  
Biological Variables ◽  
Vertical Slot ◽  
Fish Tracking

Vertical slot fishways are hydraulic structures which allow the upstream migration of fish through obstructions in rivers. Their design depends on the interplay between hydraulic and biological variables to match the requirements of the fish species for which they are intended. However, current mechanisms to study fish behavior in fishway models are impractical or unduly affect the animal behavior. In this chapter, we propose a new procedure for measuring fish behavior in fishways using Computer Vision (CV) techniques to analyze images obtained from the assays by means of a camera system designed for fishway integration. It is expected that this technique will provide detailed information about the fish behavior and will help to improve fish passage devices. A series of assays have been performed in order to validate this new approach in a full-scale fishway model and with living fishes. We have obtained very promising results that allow reconstructing correctly the movements of the fish within the fishway without disturbing fish.

scholarly journals Fish tracking in vertical slot fishways using computer vision techniques

2014 ◽  
Vol 17 (2) ◽  
pp. 275-292 ◽  
Author(s):  
Álvaro Rodríguez ◽  
María Bermúdez ◽  
Juan R. Rabuñal ◽  
Jerónimo Puertas
Keyword(s):  
Computer Vision ◽  
Kalman Filtering ◽  
Fish Passage ◽  
Hydraulic Structures ◽  
Upstream Migration ◽  
Camera System ◽  
Vertical Slot ◽  
Fish Tracking ◽  
Target Fish ◽  
And Behavior

Vertical slot fishways are hydraulic structures which allow the upstream migration of fish through obstructions in rivers. The appropriate design of these devices should take into account the behavior and biological requirements of the target fish species. However, little is known at the present time about fish behavior in these artificial conditions, which hinders the development of more effective fishway design criteria. In this work, an efficient technique to study fish trajectories and behavior in vertical slot fishways is proposed. It uses computer vision techniques to analyze images collected from a camera system and effectively track fish inside the fishway. Edge and region analysis algorithms are employed to detect fish in extreme image conditions and Kalman filtering is used to track fish along time. The proposed solution has been extensively validated through several experiments, obtaining promising results which may help to improve the design of fish passage devices.

Fish Monitoring, Sizing, and Detection Using Stereovision, Laser Technology, and Computer Vision

2018 ◽  
pp. 986-1003
Author(s):  
Angel Jose Rico-Diaz ◽  
Alvaro Rodriguez ◽  
Jeronimo Puertas ◽  
Maria Bermudez
Keyword(s):  
Computer Vision ◽  
Farm Management ◽  
Fish Behavior ◽  
Fish Farm ◽  
Laser Technology ◽  
Vertical Slot ◽  
Fish Detection ◽  
Hydroelectric Plants ◽  
Laser Techniques ◽  
Fish Monitoring

Stereovision and laser techniques allow for getting knowledge about fish, mostly when they are combined with computer vision. This kind of techniques avoid to use traditional procedures such as direct observation, which are impractical or can affect the fish behavior, in task such as aquarium and fish farm management or fishway, like vertical slot fishway, evaluation. This chapter describes in a first stage, the use stereovision join with computer vision to fish monitoring and measure size of fishes. In the second part, using laser technology and computer vision to fish detection, especially in slot fishways. Vertical slot fishways are structures that are placed in rivers to allow fish to avoid obstacles such as dams, hydroelectric plants. Then, it shows a results section and finally authors' conclusions.

Fish Monitoring, Sizing, and Detection Using Stereovision, Laser Technology, and Computer Vision

2017 ◽  
pp. 190-210
Author(s):  
Angel Jose Rico-Diaz ◽  
Alvaro Rodriguez ◽  
Jeronimo Puertas ◽  
Maria Bermudez
Keyword(s):  
Computer Vision ◽  
Farm Management ◽  
Fish Behavior ◽  
Fish Farm ◽  
Laser Technology ◽  
Vertical Slot ◽  
Fish Detection ◽  
Hydroelectric Plants ◽  
Laser Techniques ◽  
Fish Monitoring

Stereovision and laser techniques allow for getting knowledge about fish, mostly when they are combined with computer vision. This kind of techniques avoid to use traditional procedures such as direct observation, which are impractical or can affect the fish behavior, in task such as aquarium and fish farm management or fishway, like vertical slot fishway, evaluation. This chapter describes in a first stage, the use stereovision join with computer vision to fish monitoring and measure size of fishes. In the second part, using laser technology and computer vision to fish detection, especially in slot fishways. Vertical slot fishways are structures that are placed in rivers to allow fish to avoid obstacles such as dams, hydroelectric plants. Then, it shows a results section and finally authors' conclusions.

Shape Optimization of Hydraulic Structures: an Example of an Optimum Design of a Fish Passage

10.29007/2k64 ◽  
2018 ◽  
Author(s):  
Pat Prodanovic ◽  
Cedric Goeury ◽  
Fabrice Zaoui ◽  
Riadh Ata ◽  
Jacques Fontaine ◽  
...  
Keyword(s):  
Numerical Model ◽  
Shape Optimization ◽  
Objective Function ◽  
Optimum Design ◽  
Optimization Problem ◽  
A Priori ◽  
Coupled System ◽  
Fish Passage ◽  
Hydraulic Structures ◽  
Design Variables

This paper presents a practical methodology developed for shape optimization studies of hydraulic structures using environmental numerical modelling codes. The methodology starts by defining the optimization problem and identifying relevant problem constraints. Design variables in shape optimization studies are configuration of structures (such as length or spacing of groins, orientation and layout of breakwaters, etc.) whose optimal orientation is not known a priori. The optimization problem is solved numerically by coupling an optimization algorithm to a numerical model. The coupled system is able to define, test and evaluate a multitude of new shapes, which are internally generated and then simulated using a numerical model. The developed methodology is tested using an example of an optimum design of a fish passage, where the design variables are the length and the position of slots. In this paper an objective function is defined where a target is specified and the numerical optimizer is asked to retrieve the target solution. Such a definition of the objective function is used to validate the developed tool chain. This work uses the numerical model TELEMAC- 2Dfrom the TELEMAC-MASCARET suite of numerical solvers for the solution of shallow water equations, coupled with various numerical optimization algorithms available in the literature.

scholarly journals Smart Video Surveillance System Based on Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2958
Author(s):  
Antonio Carlos Cob-Parro ◽  
Cristina Losada-Gutiérrez ◽  
Marta Marrón-Romera ◽  
Alfredo Gardel-Vicente ◽  
Ignacio Bravo-Muñoz
Keyword(s):  
Computer Vision ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Smart Camera ◽  
People Detection ◽  
Camera System ◽  
Edge Node ◽  
New Processing ◽  
Processor Unit

New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper presents a smart video surveillance system executing AI algorithms in low power consumption embedded devices. The computer vision algorithm, typical for surveillance applications, aims to detect, count and track people’s movements in the area. This application requires a distributed smart camera system. The proposed AI application allows detecting people in the surveillance area using a MobileNet-SSD architecture. In addition, using a robust Kalman filter bank, the algorithm can keep track of people in the video also providing people counting information. The detection results are excellent considering the constraints imposed on the process. The selected architecture for the edge node is based on a UpSquared2 device that includes a vision processor unit (VPU) capable of accelerating the AI CNN inference. The results section provides information about the image processing time when multiple video cameras are connected to the same edge node, people detection precision and recall curves, and the energy consumption of the system. The discussion of results shows the usefulness of deploying this smart camera node throughout a distributed surveillance system.

scholarly journals Turning Pools in Stepped Fishways: Biological Assessment via Fish Response and CFD Models

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1186
Author(s):  
Francisco Javier Bravo-Córdoba ◽  
Juan Francisco Fuentes-Pérez ◽  
Jorge Valbuena-Castro ◽  
Andrés Martínez de Azagra-Paredes ◽  
Francisco Javier Sanz-Ronda
Keyword(s):  
3D Models ◽  
Fish Passage ◽  
Biological Assessment ◽  
Fish Migration ◽  
Longitudinal Development ◽  
Passive Integrated Transponder ◽  
Design Component ◽  
Cfd Models ◽  
Vertical Slot ◽  
Fish Response

With the aim of building more compact fishways and adapting them to field conditions to improve their location by fish, it is common to use turning pools, reducing the longitudinal development of the construction. However, depending on their design, turning pools may affect the hydraulic performance of the fishway and consequently the fish passage. To study these phenomena, turning pools in a vertical slot and in different configurations of submerged notches with bottom orifice fishway types were assessed. Both types of fishways were studied using numerical 3D models via OpenFOAM, a computational fluid dynamics software, in combination with fish responses, assessed with PIT (Passive Integrated Transponder) tag telemetry for three different species of potamodromous cyprinids in several fishways. Results show differences between the hydrodynamics of straight and turning pools, with lower values in the hydrodynamic variables in turning pools. Regarding fish behavior, the ascent was slower in turning pools but with no effect on passage success and without being a problem for fish migration. This information validates the use of turning pools as a key design component for fishways for studied species.

Kameraunterstützte Verschwendungsreduktion*/Computer-vision supported waste reduction in lean production

2017 ◽  
Vol 107 (09) ◽  
pp. 572-577
Author(s):  
B. Prof. Lorenz ◽  
I. Kaltenmark
Keyword(s):  
Computer Vision ◽  
Lean Manufacturing ◽  
Lean Production ◽  
Low Cost ◽  
Industrie 4.0 ◽  
Waste Reduction ◽  
Camera System ◽  
New Developments ◽  
Neue Entwicklungen

In modernen Produktionen ist Lean Manufacturing einer der wichtigsten Treiber für Produktivitätssteigerungen. Durch neue Entwicklungen im Bereich Industrie 4.0 können Impulse im Lean Manufacturing gegeben werden. An der OTH Regensburg wird getestet, wie kostengünstige Kamerasysteme helfen können, Verschwendungen sichtbar zu machen und zu minimieren. Es zeigt sich, dass auch mit geringen Investitionskosten neue Potentiale zur Verschwendungsreduktion aufgedeckt werden können.   In modern production lean manufacturing is one of the most effective drivers for productivity. Due to new developments in the Industrie 4.0-campaign new impulses can be given into lean manufacturing. Experiments at OTH Regensburg indicate that a low-cost camera system can help to make waste visible and minimize it. This shows that with low invest costs, new potentials for waste reduction can be revealed.

scholarly journals Survey of Fish Behavior Analysis by Computer Vision

2018 ◽  
Vol 09 (05) ◽  
Author(s):  
Bingshan Niu ◽  
Guangyao Li ◽  
Fang Peng ◽  
Jing Wu ◽  
Long Zhang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Behavior Analysis ◽  
Fish Behavior

scholarly journals Culverts in paved roads as suitable passages for Neotropical fish species

2012 ◽  
Vol 10 (4) ◽  
pp. 763-770 ◽  
Author(s):  
Sergio Makrakis ◽  
Theodore Castro-Santos ◽  
Maristela Cavicchioli Makrakis ◽  
Ricardo Luiz Wagner ◽  
Maurício Spagnolo Adames
Keyword(s):  
Fish Passage ◽  
Fish Movement ◽  
Upstream Migration ◽  
Migratory Species ◽  
Neotropical Fish ◽  
Potential Barriers ◽  
Medium Risk ◽  
Fall Height ◽  
Additional Monitoring ◽  
Spawning Success

Improperly installed or poorly maintained culverts can pose a serious threat to fish by disrupting their habitat and endangering spawning success. Road culverts that are not designed for fish passage frequently can become obstacles. This can be especially problematic for migratory species, but can lead to fragmentation of resident populations as well. This study evaluated 40 culverts of 29 sites within a 25-km radius from Toledo city, Paraná State, southern Brazil, with respect to their likely effects on movement of the local ichthyofauna. We collected data on the shape and length of culverts, culvert material, waterfall height, water column depth, slope, and estimated flow velocity. Culverts were categorized by level of barrier risk for upstream migration: high, medium, low, and impassable, as well as the type of barrier posed (fall height, depth, length and velocity). Most of culverts analyzed were considered potential barriers to fish movement, with 45% classified as impassible, 45% as high risk, 10% as medium risk, and no culverts as low risk. Brazilian culverts as fishways will require additional monitoring and studies to corroborate the premises proposed in the present study. Road culvert projects that are properly built and maintained will be able to simultaneously improve function of roadways and protect fish populations.

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