TY - GEN
T1 - A fast vehicle detection method by UAV using region feature gradient
AU - Yan, Lei
AU - Gong, Jiulu
AU - Chen, Derong
AU - Zhang, Suoqi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In order to detect ground vehicles from UAV in real time, a fast detection method using region feature gradient (RFG) was proposed. The RFG, which included the gradient mean amplitude and main directions, was used to find the potential position of target and its rotations rapidly. The gradient mean amplitude was first used to find the potential position of target, and the gradient integral image would make this process be computed very quickly. And the main directions of the target and potential position, which was computed by gradient histogram, were compared to find the rotation of the target. Finally, traditional recognition method (such as HOG) was adopted to accurately detect the target. Experimental results obtained against the VIVID database demonstrate that the proposed method is ten times faster than the improved method of HOG, and maintains a high recognition rate at the same time.
AB - In order to detect ground vehicles from UAV in real time, a fast detection method using region feature gradient (RFG) was proposed. The RFG, which included the gradient mean amplitude and main directions, was used to find the potential position of target and its rotations rapidly. The gradient mean amplitude was first used to find the potential position of target, and the gradient integral image would make this process be computed very quickly. And the main directions of the target and potential position, which was computed by gradient histogram, were compared to find the rotation of the target. Finally, traditional recognition method (such as HOG) was adopted to accurately detect the target. Experimental results obtained against the VIVID database demonstrate that the proposed method is ten times faster than the improved method of HOG, and maintains a high recognition rate at the same time.
KW - HOG
KW - UAV images
KW - gradient integral image
KW - region feature gradient
KW - vehicle detection
UR - https://www.scopus.com/pages/publications/85050879297
U2 - 10.1109/ICUS.2017.8278374
DO - 10.1109/ICUS.2017.8278374
M3 - Conference contribution
AN - SCOPUS:85050879297
T3 - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
SP - 384
EP - 388
BT - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
A2 - Xu, Xin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Y2 - 27 October 2017 through 29 October 2017
ER -