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Proceedings Paper

Automatic system for monitoring fish passage at dams
Author(s): Nathalie Castignolles; Michel Cattoen; M. Larinier
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Paper Abstract

Devices called fishways or fish passes are constructed in rivers to help migratory fish get over obstacles (dams). There counting windows are used to monitor fish passage by video-based counting. Our goal is to design and construct a vision system to automate this process. Images are taken by a video camera fitted with an electronic shutter in a backlit fishway. They are stored on optical disks in real time but are processed in delayed time. Faced with high volumes of data, a compression is necessary and an electronic board has been designed to accomplish it in real time. The coding method used is based on a run description of binarized images. Then, a tracking process is implemented on a micro-computer to count the fish crossing the pass. It includes fish recognition, which is based on a Bayesian classification process. In order to reduce processing times, recognition operations (labelling, parameter extraction) are accomplished on coded images. Classification results are satisfactory and are improved by the temporal redundancy generated by the tracking process. Image processing time permits the user, on average, to process images faster than they have been stored. Thus there is no data accumulation. At the end of the processing it is possible to edit a result file, to choose a fish, view its crossing images and change its species if wrong.

Paper Details

Date Published: 21 September 1994
PDF: 11 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186555
Show Author Affiliations
Nathalie Castignolles, INP-ENSEEIHT (France)
Michel Cattoen, INP-ENSEEIHT (France)
M. Larinier, CSP-CEMAGREF (France)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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