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Probability propagation based infrared pedestrian salience detection method

A detection method and remarkable technology, applied in image data processing, computational models, biological models, etc., and can solve problems such as difficult to apply to complex scenes

Inactive Publication Date: 2017-09-05
BEIHANG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

However, the existing saliency models for infrared images often cannot propose effective featu

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  • Probability propagation based infrared pedestrian salience detection method
  • Probability propagation based infrared pedestrian salience detection method
  • Probability propagation based infrared pedestrian salience detection method

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Embodiment Construction

[0076] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0077] Flow chart of the present invention is as figure 1 Shown, a kind of infrared pedestrian saliency detection method based on probability propagation of the present invention, its specific implementation steps are as follows:

[0078] Step 1: Image preprocessing;

[0079] First, the input image is divided into many similar gray levels by superpixel segmentation, the boundary superpixels are reserved, and the average position and average color of each superpixel are calculated;

[0080]

[0081] Step 2: Local stability based on MSER;

[0082] First extract the largest stable extremum region in the infrared image; first binarize the image, and the binarization threshold is set to [0,255]. In the process of changing the threshold, the number of connected...

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Abstract

The invention relates to a probability propagation based infrared pedestrian salience detection method, which comprises the steps of firstly, performing image preprocessing; secondly, acquiring the MSER based local stability by combining MSER extraction and brightness filtering; thirdly, calculating the brightness contrast of each super-pixel at first, then adding a weight to act as supplement on the basis, and acquiring the brightness contrast combining a vertical edge; and fourthly, building a salience propagation model, and achieving a purpose of salience fusion and optimization through continuously updating in mutual guide manner. According to the steps, an excellent salience detection result can be acquired in allusion to an infrared pedestrian image, the pedestrian is completely highlighted, and the background is almost completely suppressed. The probability propagation based infrared pedestrian salience detection method has practical application values in other image processing fields such as target segmentation, target tracking and target retrieval.

Description

[0001] (1) Technical field [0002] The invention relates to an infrared pedestrian saliency detection method based on probability propagation, belonging to the fields of computer vision and digital image processing. It has broad application prospects in the fields of target segmentation and target recognition. [0003] (2) Background technology [0004] Saliency detection focuses on important and prominent regions in the image. This feature makes saliency widely used in vision topics such as object segmentation, image compression, and object detection. However, applying saliency to infrared pedestrian images is still challenging for existing algorithms, but at the same time, this research is also of great practical significance, because infrared pedestrian detection has important applications in the field of intelligent transportation. [0005] Previous saliency models mainly studied the underlying features of salient objects such as color, orientation, and texture. With the ...

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Application Information

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IPC IPC(8): G06K9/00G06N3/00G06T7/00
CPCG06N3/002G06T7/0002G06T2207/20021G06T2207/30196G06T2207/10048G06V40/103G06V2201/07
Inventor 李露郑玉周付根
Owner BEIHANG UNIV
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