Saliency object detection method based on deep convolutional network

A technology of deep convolution and target detection, applied in the field of target detection
CN107423747AActive Publication Date: 2017-12-01NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2017-12-01

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Abstract

The invention belongs to the field of object detection and discloses a saliency detection method based on a deep convolutional neural network. The method comprises the steps of (1) network training data construction, that is, to construct a training image block data sample set according to a given image data set and a marked saliency map thereof; (2) database pre-processing, that is, to preprocess pixels of each image block data according to the constructed training database; (3) network structure design, that is, to extract salient objects in image blocks through the design of a deep network structure (referring in particular to I[28x28x3]-C[24x24x20]-P[12x12x20]-C[8x8x50]-P[4x4x50]-FC[500)]-O[1]); and (4) network structure training, that is, to update a deep network model by calculating an error function using the difference between the output of the deep convolutional network and label data. The method provided by the invention has strong robustness and does not require manual design of a specific feature description mode.
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Description

Technical field:

[0001] The present invention mainly relates to the field of target detection, in particular to a salient target detection method based on a deep convolutional network. Background technique:

[0002] Inspired by the ability of human vision to perceive the external environment, saliency detection algorithms have become a research hotspot in the field of vision in recent years. At present, the saliency detection technology is not mature enough. In addition to the performance of the saliency algorithm itself is not high enough, the application method of saliency information is not perfect enough, and a more satisfactory implementation method needs to be found. In the past 10 years, deep learning has achieved great success in speech recognition, natural language processing, computer vision, image and video analysis, multimedia and many other fields, and has become one of the important branches of artificial intelligence. This patent intends to use deep learning ...

Claims

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