Small-scale moving target detection in aerial image by deep inverse reinforcement learning
Soft Computing, pp. 5897-5908, 2019.
It proposes a deep inverse reinforcement learning method for slow and weak moving targets detection in aerial video. Differential gray images of adjacent frames are used as the network model input, and the feature network layer extracts the candidate moving target regions through the multi-layer convolution. The candidate target informati...More
Full Text (Upload PDF)
PPT (Upload PPT)