Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2018-08-22 000000m 07:40:47 - Overview

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Name (Institute + Shorttitle)Online RGBD Action Dataset (ORGBD) 
Description (include details on usage, files and paper references)The Online RGBD Action dataset targets for human aciton (human-object interaction) recognition based on RGBD video data. There are seven categories of human actions: Drinking, eating, using laptop, reading cellphone, making phone call, reading book, using remote.



The dataset is designed for three evaluation tasks (S# refers to the folder name):

1. same-evnironment aciton recognition (two-fold validation, 1) S1 for training and S2 for testing, 2) S2 for training and S1 for testing)

2. cross-environment action recognition (S1+S2 for training, S3 for testing)

3. continuous action recognition (S1+S2+S0 for training, S4 for testing)





The naming scheme for video file is as follow:

a#i_s#j_e#k:

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#i refers to the action category index

#i = 0 - 6: Drinking, eating, using laptop, reading cellphone, making phone call, reading book, using remote

#i = 8: long video sequence (contains multiple actions)

#i = 10: negative action (without any of the predifined action)

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#j refers to the subject index

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#k refers to the episode index

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Download:

link:http://pan.baidu.com/s/1o80Q3QM
password:15ej



Discriminative Orderlet Mining For Real-time Recognition of Human-Object Interaction
Gang Yu, Zicheng Liu, Junsong Yuan
Asian Conference on Computer Vision (ACCV) 2014 
URL Linkhttps://sites.google.com/site/skicyyu/orgbd 
Files (#)100 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)action rgbd online human recognition daily 
Last Changed2018-08-22 
Turing (2.12+3.25=?) :-)