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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  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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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MIME type

application/ogg

checksum

e3ae874eae5c8e5277c6d345ba94125d1210a360

determination method: 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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