Title
SubsMatch: scanpath similarity in dynamic scenes based on subsequence frequencies
Abstract
The analysis of visual scanpaths, i.e., series of fixations and saccades, in complex dynamic scenarios is highly challenging and usually performed manually. We propose SubsMatch, a scanpath comparison algorithm for dynamic, interactive scenarios based on the frequency of repeated gaze patterns. Instead of measuring the gaze duration towards a semantic target object (which would be hard to label in dynamic scenes), we examine the frequency of attention shifts and exploratory eye movements. SubsMatch was evaluated on highly dynamic data from a driving experiment to identify differences between scanpaths of subjects who failed a driving test and subjects who passed.
Year
DOI
Venue
2014
10.1145/2578153.2578206
ETRA
Keywords
Field
DocType
driving experiment,dynamic data,scanpath similarity,dynamic scene,interactive scenario,complex dynamic scenario,scanpath comparison algorithm,visual scanpaths,attention shift,subsequence frequency,exploratory eye movement,driving test
Computer vision,Fixation (psychology),Gaze,Simulation,Computer science,Dynamic data,Eye movement,Artificial intelligence,Subsequence,Driving test
Conference
Citations 
PageRank 
References 
10
0.57
9
Authors
3
Name
Order
Citations
PageRank
Thomas C. Kübler112412.57
Enkelejda Kasneci220233.86
Wolfgang Rosenstiel31462212.32