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CrowdFix

Dataset of Human Eye Fixation over Crowd Videos

CrowdFix

CrowdFix includes 434 videos with diverse crowd scenes, containing a total of 37,493 frames and 1,249 seconds. The diverse content refers to different crowd activities under three distinct categories - Sparse, Dense Free Flowing and Dense Congested. All videos are at 720p resolution and 30 Hz frame rate. Then, for monitoring the eye movements, a EyeTribe eye tracker was used in our experiment. Moreover, 26 participants (10 males and 16 females), aging from 17 to 40, participated in the eye-tracking experiment. All participants were non-experts for the eye-tracking experiment, with normal/corrected-to-normal vision. During the experiment, the distance between subjects and the monitor was fixed at 60 cm. Before viewing videos, each subject was required to perform a 9-point calibration for the eye tracker. Afterwards, the subjects were asked to free-view videos displayed in an MTV style. Finally, fixations of all 32 subjects on 538 videos were collected for our eye-tracking database.

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MIT
https://www.mit.edu
Task
Image Classification
Annotation Types
Classification Tags
37493
Items
3
Classes
37493
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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