TY - GEN
T1 - Moving target detection in multi-channel quantum video
AU - Yan, Fei
AU - Iliyasu, Abdullah M.
AU - Khan, Asif R.
AU - Yang, Huamin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/29
Y1 - 2015/6/29
N2 - The study proposes a method for moving object detection in multi-channel quantum video. The proposed method could detect the location of the moving target in each frame of the quantum video thereby providing a motion trail that could be used to describe the path or trajectory of the object. In validating our proposed technique, we employed a simple simulation experiment in which we detected the moving object in a short six-frame quantum video. This work presents a modest attempt to utilize quantum computing properties for moving target in quantum video research.
AB - The study proposes a method for moving object detection in multi-channel quantum video. The proposed method could detect the location of the moving target in each frame of the quantum video thereby providing a motion trail that could be used to describe the path or trajectory of the object. In validating our proposed technique, we employed a simple simulation experiment in which we detected the moving object in a short six-frame quantum video. This work presents a modest attempt to utilize quantum computing properties for moving target in quantum video research.
UR - http://www.scopus.com/inward/record.url?scp=84943329731&partnerID=8YFLogxK
U2 - 10.1109/WISP.2015.7139176
DO - 10.1109/WISP.2015.7139176
M3 - Conference contribution
AN - SCOPUS:84943329731
T3 - WISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
BT - WISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015
Y2 - 15 May 2015 through 17 May 2015
ER -