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Video vehicle detection method based on continuous Adaboost

A vehicle detection, continuous technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as difficult implementation and complex algorithms

Inactive Publication Date: 2014-02-05
FUJIAN ZHONGGENG SHITONG INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the algorithm adopted by the system and method is complex and difficult to realize

Method used

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  • Video vehicle detection method based on continuous Adaboost
  • Video vehicle detection method based on continuous Adaboost

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Embodiment Construction

[0018] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0019] According to the characteristics of rich information and low cost of the visual sensor, the present invention detects the vehicle in the image in front of the vehicle obtained by the visual sensor, and provides technical support for the vehicle's traffic records and illegal snapshots. By processing the collected vehicle images, the vehicle's haar-like features are used for classifier training, and a lookup phenotype weak classifier based on haar features is constructed, and a view-based nested cascaded vehicle detection classifier is trained using continuous Adaboost algorithm.

[0020] refer to figure 1 and figure 2 , a kind of vehicle detection method based on continuous type Adaboost video of the present invention, comprises the following steps:

[0021] Step 1: Collect a large number of vehicle samples and non-vehicle samples, after ima...

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Abstract

The invention discloses a vehicle detection system which can be divided into an off-line training module and an on-line identification module. For the off-line training module, through learning of a large amount of vehicle samples or non-vehicle samples acquired in various environments, feature distribution of searching-type weak classifier stimulation samples is designed according to haar-like features of samples, and a plurality of weak classifiers are automatically selected from a weak classifier space through a continuous Adaboost algorithm to be combined into a strong classifier. According to the video vehicle detection method based on continuous Adaboost, the Adaboost algorithm is improved and made to be capable of processing a classifier with continuous reliability output, and the Adaboost algorithm can converge faster.

Description

technical field [0001] The invention relates to vehicle detection, in particular to a continuous Adaboost video-based vehicle detection method. Background technique [0002] In recent years, with the rapid development of the electronics industry, especially large-scale storage devices and new sensors, video monitoring technology has become more and more popular for its comprehensiveness and flexibility. It takes real-time dynamic information as the core, comprehensively uses computers, Modern high-tech technologies such as control technology can flexibly and quickly process video images in real time to achieve real-time monitoring. [0003] Vehicle detection is an important link in the traffic system, providing information for traffic supervision and traffic control. Commonly used vehicle detection methods include coil detection, radar detection, laser detection, etc. The installation and maintenance of coil detection requires a large amount of work, which will damage the ...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 陈祥耀
Owner FUJIAN ZHONGGENG SHITONG INFORMATION TECH CO LTD
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