An automatic capture device and automatic capture method for illegal parking

Abstract

The invention discloses an automatic snapshot device and method for illegal parking. The automatic snapshot device comprises a front-end snapshot unit, a transmission network and a management server. The front-end snapshot unit comprises an electric zoom lens, an intelligent camera and a tripod head. The electric zoom lens is arranged at the front end of the intelligent camera and connected with the intelligent camera. The intelligent camera is arranged on the tripod head and further connected with the management server through the transmission network. The automatic snapshot method comprises the steps that the front-end snapshot unit monitors the whole monitoring area through a wide-angle lens and tracks the motion trail of all vehicles within the monitoring area; when a parking event is found through the trail tracking mode, the barycenter and area of the parking vehicle are determined; the rotation angle and pitch angle of the tripod head are determined through geometric operations; the tripod head is controlled so that the target can be located in the center of an image; the size, in the image, of the target is adjusted through lens zoom control so as to be suitable for image analysis, namely license number recognition; after the license number recognition is completed, the intelligent camera controls the electric zoom lens to restore to a wide-angle monitoring mode.

Description

technical field [0001] The invention relates to a monitoring device for monitoring illegal parking in a field of view, and more specifically relates to an automatic snapshot device and automatic snapshot method for illegal parking. Background technique [0002] With the continuous development of society and the continuous increase of the number of motor vehicles, various illegal parking phenomena are becoming more and more common. In foreign countries, the traffic police usually directly investigate and deal with illegal parking behaviors on the spot, and some countries also authorize traffic coordinators. Police officers, cleaners, etc. assist the police in investigating and punishing illegal parking, and seldom use electronic monitoring to investigate and punish illegal parking. In China, some cities have tried to install automatic capture controllers at the back end of illegal surveillance cameras to capture illegal parking, but it has not been widely promoted. The exist...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of society and the continuous increase of the number of motor vehicles, various illegal parking phenomena are becoming more and more common. In foreign countries, traffic police usually directly investigate and deal with illegal parking behaviors on the spot, and some countries authorize traffic coordinators Police officers, cleaners, etc. assist the police in investigating and punishing illegal parking, and seldom use electronic monitoring to investigate and punish illegal parking behaviors

In China, some cities have piloted the installation of automatic capture controllers at the back end of illegal surveillance cameras to capture illegal parking, but it has not been widely promoted.

The existing cloud-mounted video traffic incident detection device judges whether there is illegal parking by setting the preset position, pre-setting the scene parameters, and analyzing and processing the image collected by the fixed-focus camera, but the current device has the following defects: 1) The fixed-focus lens cannot be zoomed, which will greatly reduce the range of capture, and also bring some difficulties to photo identification

2) The output of most cloud platform video traffic incident detection devices is standard definition signal, which is obviously not in line with the development direction of video surveillance towards high definition and network

3) Most of the video detection devices put the image processing device at the back end of the camera, which reduces the integration of the system

Images