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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 3. Отображено 3.
28-10-2009 дата публикации

Method for recognizing characters of number plate images of motor vehicles based on trimetric projection

Номер: CN0101567041A
Автор: JIANG LIANGWEI, CAI CHEN, LIU TAIGUO, MO ZIXING, LIANGWEI JIANG, CHEN CAI, TAIGUO LIU, ZIXING MO
Принадлежит:

The invention relates to a method for recognizing deformed license plate characters of number plate images of motor vehicles. The method comprises the following steps: converting number plate color images of the motor vehicles into gray level images; performing binaryzation and character segmentation; performing trimetric projection on fuzzy binarized character images in the horizontal direction, the vertical direction and the spatial overlooking direction; forming character characteristic values through calculation; and quickly matching the character characteristic values with character characteristic values in a standard word stock so as to accurately recognize fuzzy characters. The method has the advantages that: the method can quickly match the deformed characters of the number plate images of the motor vehicles, and is used for quick and fuzzy recognition of the deformed number plate characters in the process of automatic recognition of the number plate images of the motor vehicles ...

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Номер записи: 1
23-05-2012 дата публикации

Suspected vehicle analysis method based on track collision

Номер: CN0101944292B
Автор: FANG AIFEN, YANG ZHUOMIN, WENG YUFENG, LIU TAIGUO, MO ZIXING, ZHANG SEN, LU CHENG, MIAO XINDUN, AIFEN FANG, ZHUOMIN YANG, YUFENG WENG, TAIGUO LIU, ZIXING MO, CHENG LU, XINDUN MIAO
Принадлежит:

The invention relates to a suspected vehicle analysis method based on track collision, comprising the following steps of: a. obtaining a plurality of running paths of a suspected vehicle according to the starting point and the terminal point of the suspected vehicle; b. extracting corresponding bayonet information on each running path; c. calculating the appearing ratio of the vehicle on the corresponding running path; d. comparing the appearing ratio of the vehicle on the corresponding running path in the step c with the set ratio to obtain a first vehicle data set which is greater than the appearing ratio on the corresponding path; e. carrying out comparison detection according to the relevant information of the suspected vehicle and the first vehicle data set obtained in the step d, and obtaining a second vehicle data set; and f. comparing corresponding passing vehicle information pictures in vehicle information and bayonet information in the second vehicle data set with associatedmotor ...

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Номер записи: 2
12-01-2011 дата публикации

Suspected vehicle analysis method based on track collision

Номер: CN0101944292A
Автор: AIFEN FANG, ZHUOMIN YANG, YUFENG WENG, TAIGUO LIU, ZIXING MO, ZHANG SEN, CHENG LU, XINDUN MIAO, FANG AIFEN, YANG ZHUOMIN, WENG YUFENG, LIU TAIGUO, MO ZIXING, LU CHENG, MIAO XINDUN
Принадлежит:

The invention relates to a suspected vehicle analysis method based on track collision, comprising the following steps of: a. obtaining a plurality of running paths of a suspected vehicle according to the starting point and the terminal point of the suspected vehicle; b. extracting corresponding bayonet information on each running path; c. calculating the appearing ratio of the vehicle on the corresponding running path; d. comparing the appearing ratio of the vehicle on the corresponding running path in the step c with the set ratio to obtain a first vehicle data set which is greater than the appearing ratio on the corresponding path; e. carrying out comparison detection according to the relevant information of the suspected vehicle and the first vehicle data set obtained in the step d, and obtaining a second vehicle data set; and f. comparing corresponding passing vehicle information pictures in vehicle information and bayonet information in the second vehicle data set with associated motor ...

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Номер записи: 3