A Real-time Taxi Recognition Method Based on Embedded System

A recognition method, taxi technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to achieve real-time detection, high time and space costs, no taxi recognition method found, etc., to achieve the characteristics The method of vector judgment is simple, the cost of time and space is small, and the effect of meeting the needs of real-time recognition

Active Publication Date: 2017-01-18
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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Problems solved by technology

The main disadvantage of this type of method is that the cost of time and space is relatively large, and it can only be run on some PCs with high configuration to achieve real-time detection. Real-time detection cannot be achieved on embedded systems. At the same time, there are still No taxi identification method that can be implemented in an embedded system has been found

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  • A Real-time Taxi Recognition Method Based on Embedded System
  • A Real-time Taxi Recognition Method Based on Embedded System
  • A Real-time Taxi Recognition Method Based on Embedded System

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0028] The present invention emphatically realizes the identification of taxis from the appearance differences between taxis and ordinary motor vehicles, mainly reflected in the fact that taxis are all small cars, there is an identification light on the roof, and there are two or more colors in the body.

[0029] Although they are both taxis, there are not small differences in the appearance of taxis belonging to different regions or companies. For example, taxi bodies in Guangzhou have several colors, such as cyan, red, yellow, etc. The shapes of the roof lights are even more strange, such as rectangles, triangles, squares, etc., which increases the difficulty of taxi identification.

[0030] figure 1 It is the flow cha...

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Abstract

The invention discloses a real-time taxi identification method based on an embedded system. The method comprises the following steps: setting a plurality of detection regions in a video image; mapping the detection regions into matrix images; judging whether a license plate exists in one detection region, if so, entering the next step, and if not, judging other detection regions; obtaining a car roof region in the detection region with the license plate, and extracting the feature vector; extracting a car body color distribution feature vector; fitting to obtain a regression equation related to the taxi feature vector; identifying the taxi according to a composite feature vector formed by combination of the regression equation, the car roof region feature vector and the car body color feature vector. The real-time taxi identification method is small in time-space expenses. Therefore, the real-time identification requirements of the embedded system on the taxi can be met.

Description

technical field [0001] The invention relates to the fields of video intelligent monitoring and vehicle type identification based on the embedded Internet of Things, in particular to a real-time taxi identification method based on an embedded system. Background technique [0002] With the continuous improvement of the software and hardware functions of embedded systems, embedded systems have gradually entered all aspects of real life. The most common one is the video surveillance system composed of various large and small cameras. With continuous development over the years, it has been widely used in monitoring and management tasks in various fields, environments and scenarios. With the theoretical development and practical exploration of computer vision, artificial intelligence, and pattern recognition technology, video surveillance systems are now developing in the direction of intelligence. [0003] Intelligent transportation system is an important application of video in...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 王飞跃胡斌熊刚周维斯李逸岳田秋常
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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