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File:Automatically-Detect-and-Track-Multiple-Fish-Swimming-in-Shallow-Water-with-Frequent-Occlusion-pone.0106506.s001.ogv

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Automatically-Detect-and-Track-Multiple-Fish-Swimming-in-Shallow-Water-with-Frequent-Occlusion-pone.0106506.s001.ogv (Ogg Theora video file, length 9.6 s, 482 × 480 pixels, 264 kbps, file size: 310 KB)


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Summary

Description
English: Tracking result's demo video of 40 fish.
Date
Source Movie S1 from Qian Z, Cheng X, Chen Y (2014). "Automatically Detect and Track Multiple Fish Swimming in Shallow Water with Frequent Occlusion". PLOS ONE. DOI:10.1371/journal.pone.0106506. PMID 25207811. PMC: 4160317.
Author Qian Z, Cheng X, Chen Y
Permission
(Reusing this file)
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
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Provenance
InfoField
This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
WikiProject Open Access
WikiProject Open Access

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application/ogg

checksum

e3ae874eae5c8e5277c6d345ba94125d1210a360

determination method or standard: SHA-1

data size

317,237 byte

duration

9.6 second

height

480 pixel

width

482 pixel

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Date/TimeThumbnailDimensionsUserComment
current22:47, 16 September 20149.6 s, 482 × 480 (310 KB)Open Access Media Importer BotAutomatically uploaded media file from Open Access source. Please report problems or suggestions here.

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