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Human Activity/Action Databases

1. RPI-ISL Activity Datasets

a. Parking Lot Dataset:

The dataset consists of 108 sequences for 7 actions captured from a parking lot. The actions includes walking, running, leaving car, entering car, bending down, throwing and looking around. These action examples are performed by two people with scale variation, view change and shadow interference.  

Action	# Examples
Walking	20
Running	16
Leaving Car	8
Entering Car	7
Bending Down	22
Throwing	21
Looking Around	14

b. Complex Activity Dataset

The complex activity dataset consists of 15 video sequences for 5 complex activities in daily life: Shaking hands, Talking, Chasing, Boxing and Wrestling. These activities are conducted by two interactive subjects who perform 5 basic individual actions: Standing, Running, Making a fist, Clinching, and Reaching out. The following table describes the basic actions performed by the two subjects for each complex activity. In each sequence, the 5 complex activities are sequentially performed, so there are 15 examples for each complex activity.

Activity	Action of subject 1	Action of Subject 2
Shaking hands	Reaching out	Reaching out
Talking	Standing	Standing
Chasing	Running	Running
Boxing	Making a fist	Making a fist
Wrestling	Clinching	Clinching

*** The datasets are available upon request.

　

2. Weizmann Dataset 

    90 low-resolution(180x144) video clips with 9 different subjects, each of which performs 10 basic actions.

3. KTH Dataset       

   6 human actions performed several times by 25 subjects in four different scenarios. It totally contains 2391 sequences.

4. UCF Datasets

   a. Sports action dataset:   200 sequences for 9 sports activities at a resolution of 720x480.

   b. Aerial action dataset:   9 aerial actions collected at different heights and aerial viewpoints.

   c. YouTube action dataset:  11 action categories, each of which is grouped into 25 groups with more than 4 action clips in it.

5. CAVIAR/BEHAVE Dataset 

    Six basic scenarios acted out by the CAVIAR team members: Walking, Browsing, Resting, Leaving bags behind, People meeting/walking together/splitting up and Two people fitting. There are about 3 – 6 clips for each scenario.