TY - GEN
T1 - Appearance-based person identification algorithm to search for persons using a flying robot
AU - Yonezawa, Toru
AU - Takeuchi, Eijirou
AU - Ohno, Kazunori
AU - Tadokoro, Satoshi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/29
Y1 - 2016/3/29
N2 - This paper proposes a person identification algorithm that can be used when searching for persons from multiple images captured by flying robots. The images taken by such robots have low resolution and contain various viewing angles of people because they fly at a safe distance from and often move around people. The proposed person identification algorithm is based on appearance and can identify a person from low-resolution images of the upper body. In appearance-based person identification, the accuracy is low when a single image is used. Therefore, the accuracy is improved by accumulating the score. Experimental results obtained using 40 subjects show that the identification accuracy based on images having different view angles is better than that based on images having similar view angles. Further, the identification accuracy increase even when rear images of the person that are barely distinguishable from those of another person are added to the input images. In addition, it can identify persons even when the size of the upper body image is as small as 15 pixels. We performed the identification experiment using images taken by an aerial-robot while it was actually flying and proved the effectiveness of the algorithm.
AB - This paper proposes a person identification algorithm that can be used when searching for persons from multiple images captured by flying robots. The images taken by such robots have low resolution and contain various viewing angles of people because they fly at a safe distance from and often move around people. The proposed person identification algorithm is based on appearance and can identify a person from low-resolution images of the upper body. In appearance-based person identification, the accuracy is low when a single image is used. Therefore, the accuracy is improved by accumulating the score. Experimental results obtained using 40 subjects show that the identification accuracy based on images having different view angles is better than that based on images having similar view angles. Further, the identification accuracy increase even when rear images of the person that are barely distinguishable from those of another person are added to the input images. In addition, it can identify persons even when the size of the upper body image is as small as 15 pixels. We performed the identification experiment using images taken by an aerial-robot while it was actually flying and proved the effectiveness of the algorithm.
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U2 - 10.1109/SSRR.2015.7442995
DO - 10.1109/SSRR.2015.7442995
M3 - Conference contribution
AN - SCOPUS:84967214909
T3 - SSRR 2015 - 2015 IEEE International Symposium on Safety, Security, and Rescue Robotics
BT - SSRR 2015 - 2015 IEEE International Symposium on Safety, Security, and Rescue Robotics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2015
Y2 - 18 October 2015 through 20 October 2015
ER -