2016 23rd International Conference on Pattern Recognition (ICPR) 2016
DOI: 10.1109/icpr.2016.7899904
|View full text |Cite
|
Sign up to set email alerts
|

User interest profiling using tracking-free coarse gaze estimation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
1
1
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 13 publications
0
2
0
Order By: Relevance
“…Moreover, the researchers observed two special groups of visitors: investors and entrepreneurs, concluding that spatial-related reasons may explain different behaviors of the two groups. Bartoli et al (2016) proposed a method to profile the attention of people moving in a known space. The authors used coarse gaze estimation and a model based on optical flow to improve attention prediction, without using a tracker, so that the method could be applicable also to crowded events.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, the researchers observed two special groups of visitors: investors and entrepreneurs, concluding that spatial-related reasons may explain different behaviors of the two groups. Bartoli et al (2016) proposed a method to profile the attention of people moving in a known space. The authors used coarse gaze estimation and a model based on optical flow to improve attention prediction, without using a tracker, so that the method could be applicable also to crowded events.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, data on visitors’ paths at the exhibitions and/or overcrowded areas can be acquired. Furthermore, researchers have developed ways of addressing visitors’ multimedia profiles (Bartoli et al , 2016; Guo et al , 2016; Joppi et al , 2018) and behavioral predictions. Such information may be extremely relevant in developing improved marketing strategies targeting visitors and in managing optimal fair space planning.…”
Section: Discussionmentioning
confidence: 99%