Picture/video important person detection method combining deep learning and relation modeling
An important person, deep learning technology, applied in the field of image processing, can solve the problems of ignoring the relationship between pedestrians, not taking into account the relationship between people and the scene, unable to express information well, to achieve iterability, demand less effect
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[0063] Such as figure 1 As shown, the method of the present invention is POINT (deep importance relatIons NeTworks). First, the present invention detects all pedestrians in the picture through a face detector, and then (a) uses the feature expression module to extract personal features and global features, and then inputs these features into the relationship calculation module (b), and the whole relationship module consists of r sub- In each sub-relationship module, we will construct a person-to-person (p2p) relationship graph and a person-to-event (p2e) relationship graph, and then estimate the importance relationship from these two graphs. Then the relational features are encoded and concatenated with the original personal features pfeat to obtain the characteristic features. Finally, the importance features are input into (c) the importance classification module, and the importance of each person is scored.
[0064] Specifically, a method for detecting important people in...
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