Name
Title | ||
|---|---|---|
CNN with spatio-temporal information for fast suspicious object detection and recognition in THz security images. |
Abstract | ||
|---|---|---|
•We propose an automatic suspicious object detection and recognition method for THz security images.•We employed the advanced CNN model to achieve intelligent analysis.•The spatio-temporal context information is explored via SLD model for performance refinement. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2019.02.029 | Signal Processing |
Keywords | Field | DocType |
Convolutional neural network,THz security images,Object detection and recognition,Sparse and low-rank decomposition | Object detection,Mathematical optimization,Pattern recognition,Convolutional neural network,Morphological processing,Terahertz radiation,Interference (wave propagation),Artificial intelligence,Mathematics,Computation,False positive paradox,Computational complexity theory | Journal |
Volume | ISSN | Citations |
160 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 30 | 7 |