Online RGBD Action Dataset (ORGBD)

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Online RGBD Action Dataset (ORGBD)

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:------------------------------------------------------------------#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)------------------------------------------------------------------#j refers to the subject index------------------------------------------------------------------#k refers to the episode index------------------------------------------------------------------Download:link:http://pan.baidu.com/s/1o80Q3QMpassword:15ejDiscriminative Orderlet Mining For Real-time Recognition of Human-Object InteractionGang Yu, Zicheng Liu, Junsong YuanAsian Conference on Computer Vision (ACCV) 2014

Dataset Attributes

Label SVG
CategoriesAction, Rgbd, Online, Human, Daily