Vehicle detection method based on multi-feature fusion

A multi-feature fusion, vehicle detection technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of high feature or complexity, too simple, serious and so on

Active Publication Date: 2013-09-11
BEIJING BOOSTIV TECH
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Problems solved by technology

These methods are very sensitive to vehicle size, vehicle attitude, shadows, illumination changes, and scene changes. They are highly dependent on the accurate establishment of samples or models, and the false detection is serious.
However, many emerging feature-based

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  • Vehicle detection method based on multi-feature fusion
  • Vehicle detection method based on multi-feature fusion
  • Vehicle detection method based on multi-feature fusion

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[0043] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0044] Such as figure 1 As shown, the present invention adopts the means of multi-feature fusion, by comprehensively considering the geometry, corners and lines and other identifying features of the local area of ​​the image, and combining the spatial structure information of the vehicle, cascading through multi-level binary weak classifiers into A strong classifier is used to confirm whether the area is a vehicle target; the specific implementation of the vehicle detection algorithm is focused and operable, and a robust, efficient and concise detection effect is achieved, which has the advantage of strong versatility.

[0045] This vehicle detection algorithm based on multi-feature fusion is divided into t...

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Abstract

The invention provides a vehicle detection method based on multi-feature fusion. The vehicle detection method based on the multi-feature fusion comprises the steps of step 1, establishing one or a plurality of monitoring areas (ROI (region of interest)) in an input image; step 2, extracting Harris angular points and longitudinal gradient information in the ROI on the basis of a grayscale map of an image to be detected; step 3, computing a geometry size of a detection window at a certain position inside the ROI according to a circumscribed trapezoid of an obtained monitoring area; step 4, counting an angular point number of the detection window and computing the distribution symmetry of the angular points; step 5, extracting structured horizontal line information on the basis of a longitudinal gradient in the detection window; step 6, utilizing a cascaded strong classifier to judge whether a current detection window is a vehicle area, if so, reserving the current detection window, and if not, dismissing the current detection window; step 7, moving the detection widow according to a certain step size, switching to the step 3, and repeating the steps from the step 3 to the step 7; and step 8, reducing the probability of the repeated detection of the same target through detection result combination.

Description

technical field [0001] The invention belongs to the field of intelligent transportation systems (ITS), and relates to a method for detecting motor vehicles in traffic videos, in particular to a method for detecting vehicles based on multi-feature fusion. Background technique [0002] Vehicle detection technology is the primary research topic of intelligent transportation systems, and it is the prerequisite for important applications such as traffic parameter acquisition, event detection, and security deployment. [0003] Most of the current vehicle detection methods are based on video processing, such as traditional classifier methods, background modeling methods, and model methods. These methods are very sensitive to vehicle size, vehicle attitude, shadows, illumination changes, and scene changes. They are highly dependent on the accurate establishment of samples or models, and the false detection is serious. However, many emerging feature-based detection methods use featu...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 兰昆艳游亚平
Owner BEIJING BOOSTIV TECH
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