Abstract
This paper proposes and develops a saliency map suitable for the wide angle fovea (WAF) sensor. The saliency map is well-known as a computational method inspired from the human cognitive vision processing. This bottom-up processing method is often available for finding a target, which should be paid attention to, automatically from the arbitrary scene. However, it is not necessarily sufficient to use the existing saliency sap directly with the W A F sensor. Usually, we utilize the W A F sensor by combining different-level image processing tasks using its high spatial resolution central field of view (FOV) or its wide-angle F O V cooperatively, because the W A F sensor does not provide with a uniform resolution input image. When we apply the saliency map for the input image by the W A F sensor, we need to take into account unique properties of this biologically-inspired special vision sensor. Therefore, we design a novel saliency map model which is more suitable for the W A F sensor. After configuration of this specific saliency map, some verification experiments were implemented to enhance advantages of our proposed saliency map for the W A F sensor, i.e., W A F saliency map.
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5481-5486 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509066841 |
| DOIs | |
| Publication status | Published - 2018 Dec 26 |
| Event | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 2018 Oct 20 → 2018 Oct 23 |
Publication series
| Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
|---|
Conference
| Conference | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 18/10/20 → 18/10/23 |
Fingerprint
Keywords
- Attention shift
- Eye movement
- High spatial resolution
- Reg interest
- Saliency map
- Staticfea dynamicfeature
- Wide anglefovea sensor
- Widefield of view
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization
Cite this
Saliency map for wide angle fovea vision sensor. / Murakami, Rei; Shimizu, Sota; Hasebe, Nobuyuki; Yamazaki, Tatsuya.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5481-5486 8591050 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Saliency map for wide angle fovea vision sensor
AU - Murakami, Rei
AU - Shimizu, Sota
AU - Hasebe, Nobuyuki
AU - Yamazaki, Tatsuya
PY - 2018/12/26
Y1 - 2018/12/26
N2 - This paper proposes and develops a saliency map suitable for the wide angle fovea (WAF) sensor. The saliency map is well-known as a computational method inspired from the human cognitive vision processing. This bottom-up processing method is often available for finding a target, which should be paid attention to, automatically from the arbitrary scene. However, it is not necessarily sufficient to use the existing saliency sap directly with the W A F sensor. Usually, we utilize the W A F sensor by combining different-level image processing tasks using its high spatial resolution central field of view (FOV) or its wide-angle F O V cooperatively, because the W A F sensor does not provide with a uniform resolution input image. When we apply the saliency map for the input image by the W A F sensor, we need to take into account unique properties of this biologically-inspired special vision sensor. Therefore, we design a novel saliency map model which is more suitable for the W A F sensor. After configuration of this specific saliency map, some verification experiments were implemented to enhance advantages of our proposed saliency map for the W A F sensor, i.e., W A F saliency map.
AB - This paper proposes and develops a saliency map suitable for the wide angle fovea (WAF) sensor. The saliency map is well-known as a computational method inspired from the human cognitive vision processing. This bottom-up processing method is often available for finding a target, which should be paid attention to, automatically from the arbitrary scene. However, it is not necessarily sufficient to use the existing saliency sap directly with the W A F sensor. Usually, we utilize the W A F sensor by combining different-level image processing tasks using its high spatial resolution central field of view (FOV) or its wide-angle F O V cooperatively, because the W A F sensor does not provide with a uniform resolution input image. When we apply the saliency map for the input image by the W A F sensor, we need to take into account unique properties of this biologically-inspired special vision sensor. Therefore, we design a novel saliency map model which is more suitable for the W A F sensor. After configuration of this specific saliency map, some verification experiments were implemented to enhance advantages of our proposed saliency map for the W A F sensor, i.e., W A F saliency map.
KW - Attention shift
KW - Eye movement
KW - High spatial resolution
KW - Reg interest
KW - Saliency map
KW - Staticfea dynamicfeature
KW - Wide anglefovea sensor
KW - Widefield of view
UR - http://www.scopus.com/inward/record.url?scp=85061523578&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061523578&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8591050
DO - 10.1109/IECON.2018.8591050
M3 - Conference contribution
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 5481
EP - 5486
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -