Visual detection method for road driving area

A technology of visual detection and driving area, which is applied in the direction of instruments, character and pattern recognition, computer components, etc. It can solve the problems of complex energy function iteration and low efficiency, and achieve high detection accuracy, fast detection speed, and low environmental noise. great effect

Active Publication Date: 2017-10-24
XI AN JIAOTONG UNIV
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Problems solved by technology

[0002] The detection of road driving areas has important applications in the fields of image processing, computer vision and pattern recognition. According to the detection results of road driving areas, the spatial range of vehicles and pedestrians in the video image scene can be determined, and it can serve the field of intelligent transportation systems ; The classic Markov random field method can realize pixel-level image region detection. The basic idea is to apply context constraints to adjacent elements in the image; in order to increase the feature dimension used for detection and discrimination and improve the speed of region detection, Wang method (refer to Wang's method: Wang XF, Zhang XP.A new localized superpixel Markov random field for image segmentation[C].IEEE InternationalConference on Multimedia&...

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  • Visual detection method for road driving area
  • Visual detection method for road driving area
  • Visual detection method for road driving area

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[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] Such as figure 1 Shown, the present invention a kind of visual detection method of road driving area, comprises the following steps:

[0046] 1) Perform superpixel segmentation on the input image, in which the superpixel segmentation adopts a uniform segmentation method, and the superpixel is used as the middle-level feature perception consistency unit, and feature descriptors such as color and texture can be defined;

[0047] 2) According to prior knowledge, determine the initial superpixel category label in the image, and use the method of semantic annotation classification to give the first frame superpixel category label a more precise definition, which lays the foundation for the inter-frame propagation of superpixel category labels Good foundation; if the algorithm is aimed at image sequences, it can be considered that the road ...

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Abstract

The invention discloses a visual detection method for a road driving area. The method comprises: using superpixels as a middle layer feature perception consistency unit, based on middle layer superpixel segmentation, establishing an energy function, data dependence items of the energy function being defined by colors, textures, and position features of the superpixels, data interaction items introducing interaction of spatio-temporal neighborhood superpixels, and the data interaction items being defined by labels thereof and color feature differences; in addition, according to circulation of initializing classification labels, initial global energy calculation, local energy comparison, and global energy comparison, determining implementation energy minimization. The method can effectively detect road driving areas in images and videos, and the method is simple and effective.

Description

technical field [0001] The invention belongs to the fields of image processing, computer vision and pattern recognition, and in particular relates to a visual detection method of a road driving area. Background technique [0002] The detection of road driving areas has important applications in the fields of image processing, computer vision and pattern recognition. According to the detection results of road driving areas, the spatial range of vehicles and pedestrians in the video image scene can be determined, and it can serve the field of intelligent transportation systems ; The classic Markov random field method can realize pixel-level image region detection. The basic idea is to apply context constraints to adjacent elements in the image; in order to increase the feature dimension used for detection and discrimination and improve the speed of region detection, Wang method (refer to Wang's method: Wang XF, Zhang XP.A new localized superpixel Markov random field for image ...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/588
Inventor 李垚辰刘跃虎祝继华牛振宁郭瑞马士琦
Owner XI AN JIAOTONG UNIV
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