Abstract
and campaigns, one can offer audience an improved experience and customized content addressing their interests and behaviour. In this paper, we present a pose-invariant face tracking method to automatically monitor audience’s attention time in real-time. The current system can handle 3D pose variation up to ±55 in yaw and ±30 in pitch angles.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd World Congress on Electrical Engineering and Computer Systems and Science (EECSS'16) |
| Number of pages | 4 |
| Publication status | Published - 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2nd World Congress on Electrical Engineering and Computer Systems and Science, EECSS'16 - Budapest, Hungary Duration: 16 Aug 2016 → 17 Aug 2016 |
Conference
| Conference | 2nd World Congress on Electrical Engineering and Computer Systems and Science, EECSS'16 |
|---|---|
| Abbreviated title | EECSS'16 |
| Country | Hungary |
| City | Budapest |
| Period | 16/08/16 → 17/08/16 |
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Keywords
- face tracking
- face detection
- 3D face anthropometry
- pose estimation
- camera calibration
Cite this
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Real-Time Face Tracking for Audience Engagement. / Peng, Chengyuan; Järvinen, Sari; Peltola, Johannes.
Proceedings of the 2nd World Congress on Electrical Engineering and Computer Systems and Science (EECSS'16) . 2016.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Real-Time Face Tracking for Audience Engagement
AU - Peng, Chengyuan
AU - Järvinen, Sari
AU - Peltola, Johannes
PY - 2016
Y1 - 2016
N2 - Audience measurement is an application area where face tracking and analysis could automatically provide reliable answers about how consumers and users behave spontaneously in real environments. The solutions can detect age, gender, size of the audience, distance from a display, dwell times and more. By knowing audience emotional reactions and engagement towards the products, contentand campaigns, one can offer audience an improved experience and customized content addressing their interests and behaviour. In this paper, we present a pose-invariant face tracking method to automatically monitor audience’s attention time in real-time. The current system can handle 3D pose variation up to ±55 in yaw and ±30 in pitch angles.
AB - Audience measurement is an application area where face tracking and analysis could automatically provide reliable answers about how consumers and users behave spontaneously in real environments. The solutions can detect age, gender, size of the audience, distance from a display, dwell times and more. By knowing audience emotional reactions and engagement towards the products, contentand campaigns, one can offer audience an improved experience and customized content addressing their interests and behaviour. In this paper, we present a pose-invariant face tracking method to automatically monitor audience’s attention time in real-time. The current system can handle 3D pose variation up to ±55 in yaw and ±30 in pitch angles.
KW - face tracking
KW - face detection
KW - 3D face anthropometry
KW - pose estimation
KW - camera calibration
M3 - Conference article in proceedings
SN - 978-1-927877-25-8
BT - Proceedings of the 2nd World Congress on Electrical Engineering and Computer Systems and Science (EECSS'16)
ER -