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
N1 - Funding Information:
This work supported by the Ministry of Science and Technology, Taiwan (ROC), under grant MOST 106-2221-E- 110 -010 is gratefully acknowledged.
Funding Information:
ACKNOWLEDGMENT This work supported by the Ministry of Science and Technology, Taiwan (ROC), under grant MOST 106-2221-E-110 -010 is gratefully acknowledged.
Publisher Copyright:
© 2018 IEEE.
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.
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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.
T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Y2 - 7 October 2018 through 10 October 2018
ER -
