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Method for automatically detecting carriage of freight train in video

An automatic detection, freight train technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as failure to achieve detection accuracy and robustness, difficulty, etc. Strong and robust effect

Inactive Publication Date: 2013-05-01
CLOUD COMPUTING CENT CHINESE ACADEMY OF SCI +1
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Problems solved by technology

The edge features detected by this method are not always the desired edge between the car and the background, but also often include the edge features of the car surface pattern and texture. It is very difficult to distinguish them accurately, so it is not possible to achieve the desired results. Required detection accuracy and robustness

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  • Method for automatically detecting carriage of freight train in video
  • Method for automatically detecting carriage of freight train in video
  • Method for automatically detecting carriage of freight train in video

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Embodiment Construction

[0017] 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.

[0018] In order to better understand the method proposed by the present invention, the detection method of the present invention will be described by selecting a video segment taken by a surveillance camera as an example. In the video segment, a freight train passes through the field of view. This video segment It records the whole process of the train from the front of the train entering the monitoring scene to the rear of the train leaving the scene. The size of the video image is 640×480, and the frame rate is 15 frames per second.

[0019] figure 1 It is a flowchart of the detection method of the present invention, such as figure 1 As shown, the detection method comprises the following steps:

[0020] Step 1, segmen...

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Abstract

The invention discloses a method for automatically detecting a carriage of a freight train in a video. According to the method, the carriage of the freight train is subjected to automatic video detection on the basis of a computer vision technology. The method comprises the following steps of: acquiring a motion foreground of a train carriage in each frame of image of the video by division; estimating the running speed of the train according to the change of a carriage boundary in different frames of image; and splicing train carriage foreground images obtained in the step 1 according to the running speed of the train to obtain a panoramic image of the train carriage so as to accomplish automatic detection of the train in the video. The method has the advantages of high robustness, high accuracy, high real-time performance and the like, and is easy to implement; and a reliable key technology can be provided for the detection and identification of the loading condition of the carriage of the freight train in an intelligent train video monitoring system.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and in particular to a method for automatically detecting freight train carriages in a video. The invention utilizes computer vision technology and combines frequency domain information and space domain information of video images to automatically segment the foreground of freight train carriages, Speed ​​detection and foreground stitching. Background technique [0002] With the development of video surveillance technology, video cameras have been widely used to monitor and detect various environments, areas and targets in real time. In intelligent railway transportation systems, video sensors have been used to monitor and detect train carriages, axles and rails. A freight train is composed of a section of container carriages, each of which is about 35-40 meters long. A train is generally composed of dozens of carriages, and the length of such a train is often more than 1 kilometer. Th...

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 王飞跃孔庆杰熊刚朱凤华周昰昱李元涛
Owner CLOUD COMPUTING CENT CHINESE ACADEMY OF SCI
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