Small-scale moving target detection in aerial image by deep inverse reinforcement learning

Dashuai Yan
Dashuai Yan
Jie Huang
Jie Huang
Changhao Sun
Changhao Sun

Soft Computing, pp. 5897-5908, 2019.

Cited by: 0|Bibtex|Views5|DOI:https://doi.org/10.1007/s00500-019-04404-6
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Other Links: academic.microsoft.com|dblp.uni-trier.de|link.springer.com

Abstract:

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

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