Abstract
This paper presents a Human Partner System (HPS) that is composed of three sub-systems: a hearing system, a speaking system, and a vision system. Coordinated with these systems, HPS can recognize people and dialog with them. To attract a human's attention for interaction, this paper combines the difference image method and the GrabCut algorithm for HPS. To assist humans in their daily lives and to enhance their interactive fun, HPS has a short-term memory function and can read out new email when a known person appears in her line of sight. To allow HPS to search for a target object in a complicated environment, this paper proposes the double peak continuously adaptive mean shift (DPCAMS) algorithm, which combines the contours and color information of target object. This algorithm is easy to implement and the experimental result demonstrates that this algorithm is faster than the speeded up robust features (SURF) algorithm.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1827-1832 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538666500 |
| DOIs | |
| Publication status | Published - 2019 Jan 16 |
| Event | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 2018 Oct 7 → 2018 Oct 10 |
Publication series
| Name | Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
|---|
Conference
| Conference | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
|---|---|
| Country | Japan |
| City | Miyazaki |
| Period | 18-10-07 → 18-10-10 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Information Systems
- Information Systems and Management
- Health Informatics
- Artificial Intelligence
- Computer Networks and Communications
- Human-Computer Interaction
Cite this
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Double Peak CAMS Algorithm Based Object Searching for a Human Partner System. / Kao, Min Chi; Li, Tzuu-Hseng S.; Kuo, Ping Huan.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1827-1832 8616312 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Double Peak CAMS Algorithm Based Object Searching for a Human Partner System
AU - Kao, Min Chi
AU - Li, Tzuu-Hseng S.
AU - Kuo, Ping Huan
PY - 2019/1/16
Y1 - 2019/1/16
N2 - This paper presents a Human Partner System (HPS) that is composed of three sub-systems: a hearing system, a speaking system, and a vision system. Coordinated with these systems, HPS can recognize people and dialog with them. To attract a human's attention for interaction, this paper combines the difference image method and the GrabCut algorithm for HPS. To assist humans in their daily lives and to enhance their interactive fun, HPS has a short-term memory function and can read out new email when a known person appears in her line of sight. To allow HPS to search for a target object in a complicated environment, this paper proposes the double peak continuously adaptive mean shift (DPCAMS) algorithm, which combines the contours and color information of target object. This algorithm is easy to implement and the experimental result demonstrates that this algorithm is faster than the speeded up robust features (SURF) algorithm.
AB - This paper presents a Human Partner System (HPS) that is composed of three sub-systems: a hearing system, a speaking system, and a vision system. Coordinated with these systems, HPS can recognize people and dialog with them. To attract a human's attention for interaction, this paper combines the difference image method and the GrabCut algorithm for HPS. To assist humans in their daily lives and to enhance their interactive fun, HPS has a short-term memory function and can read out new email when a known person appears in her line of sight. To allow HPS to search for a target object in a complicated environment, this paper proposes the double peak continuously adaptive mean shift (DPCAMS) algorithm, which combines the contours and color information of target object. This algorithm is easy to implement and the experimental result demonstrates that this algorithm is faster than the speeded up robust features (SURF) algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85062208346&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062208346&partnerID=8YFLogxK
U2 - 10.1109/SMC.2018.00316
DO - 10.1109/SMC.2018.00316
M3 - Conference contribution
AN - SCOPUS:85062208346
T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
SP - 1827
EP - 1832
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -