Electronics Optics & Control, Volume. 31, Issue 2, 98(2024)
Optical Flow Estimation of Small Moving Targets Using Local Feature Matching
[1] [1] WANG Q,CHEN F,XU W L,et al.Object tracking via partial least squares analysis[J].IEEE Transactions on Image Processing,2012,21(10):4454-4465.
[8] [8] DOSOVITSKIY A,FISCHER P,ILG E,et al.FlowNet:learning optical flow with convolutional networks[C]//IEEE International Conference on Computer Vision.Santiago:IEEE,2015:2758-2766.
[9] [9] SUN D Q,YANG X D,LIU M Y,et al.PWCNet:CNNs for optical flow using pyramidwarpingand cost volume[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Salt Lake City:IEEE,2018:8934-8943.
[10] [10] JIA D,WANG K,LUO S L,et al.BRAFT:recurrent allpairs field transfoms for optical flow based on correlation blocks[J].IEEE Signal Processing Letters,2021,28:1575-1579.
[11] [11] TEED Z,DENG J.RAFT:recurrent allpairs field transforms for optical flow[C]//European Conference on Computer Vision.Cham:Springer,2020:402-419.
[12] [12] BUGEAU A,PEREZ P.Detection and segmentation of moving objects in highly dynamic scenes[C]//IEEE Conference on Computer Vision and Pattern Recognition.Minneapolis:IEEE,2007:1-8.
Get Citation
Copy Citation Text
CHEN Huajie, XU Congqing, ZHOU Xiao, ZHAN Junjie. Optical Flow Estimation of Small Moving Targets Using Local Feature Matching[J]. Electronics Optics & Control, 2024, 31(2): 98
Category:
Received: Mar. 10, 2023
Accepted: --
Published Online: Jul. 26, 2024
The Author Email: