CN104599339A - Video-based carriage overload monitoring method - Google Patents

Video-based carriage overload monitoring method Download PDF

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Publication number
CN104599339A
CN104599339A CN201310535202.1A CN201310535202A CN104599339A CN 104599339 A CN104599339 A CN 104599339A CN 201310535202 A CN201310535202 A CN 201310535202A CN 104599339 A CN104599339 A CN 104599339A
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CN
China
Prior art keywords
face characteristic
vehicle
image
video
characteristic image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201310535202.1A
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Chinese (zh)
Inventor
韩基鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
DALIAN RELIANCE SOFTWARE TECHNOLOGY Co Ltd
Original Assignee
DALIAN RELIANCE SOFTWARE TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by DALIAN RELIANCE SOFTWARE TECHNOLOGY Co Ltd filed Critical DALIAN RELIANCE SOFTWARE TECHNOLOGY Co Ltd
Priority to CN201310535202.1A priority Critical patent/CN104599339A/en
Publication of CN104599339A publication Critical patent/CN104599339A/en
Pending legal-status Critical Current

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Abstract

The invention discloses a video-based carriage overload monitoring method. The method concretely comprises the following steps: adopting the middle gangway of a carriage as a detection area, and acquiring the video image of the detection area; selecting one frame of the video image as the current frame, and analyzing whether a face characteristic image exists in the gangway area by using the above video; determining the current carriage is not overloaded if the face characteristic image does not exist; continuously tracing the face characteristic image if the face characteristic image exists, and determining the current carriage is not overloaded if the face characteristic image still exists in a preset time threshold and the movement range of the face characteristic image does not exceed a position threshold; and directly determining whether face characteristic images exist or not if above two face characteristic images exist in the detection area, determining the current carriage is overloaded if the above two face characteristic images still exist, and repeatedly determining if not.

Description

The overcrowding method for supervising of a kind of vehicle based on video
Technical field
The present invention relates to the overcrowding method for supervising of a kind of vehicle based on video.
Background technology
Overload is the something making everyone headache always, although also have a little helpless, life-and-death matter, can not general idea.The means of existing detection overload are comparatively single, need traffic police at the outpost of the tax office, vehicle of stopping, get on the bus and carry out manual detection, hinder vehicle to advance and do not say, also consume administration cost greatly.
The development of Video Analysis Technology at any time, has occurred that the Video Detection Algorithm of being correlated with may be used for personnel or the moving Object Detection of specific region.
Summary of the invention
The present invention is directed to the proposition of above problem, and the overcrowding method for supervising of a kind of vehicle based on video of development, there are following steps:
-using the central gangway of vehicle as surveyed area, the video image in acquisition testing region;
-choose a frame video image wherein as present frame, use the image that whether there is face characteristic in video analysis aisle region;
-if there is not the image of face characteristic, then judge that current passenger vehicle is as non-overload condition; If there is face characteristic image, continue to follow the tracks of this face characteristic image, if face characteristic image still exists in the time threshold of setting, and moving range is no more than position threshold, then judge that current passenger vehicle is as non-overload condition.
If there is plural face characteristic image in surveyed area, then directly temporally whether threshold determination face characteristic image still exists; If exist, then judge Current vehicle overload; If do not exist, then repeat determination step.
Have step: when detecting overload of vehicle, remote control center assigns instruction, control vehicle automatic retarding and stop, locked engine, and searching database, notify local traffic police.
Also had before described step " using the central gangway of vehicle as surveyed area, the video image in acquisition testing region ": the video image realizing collection vehicle passageway, determine benchmark image.
Owing to have employed technique scheme, the overcrowding method for supervising of a kind of vehicle based on video provided by the invention, by the detection to vehicle passageway, achieve the full-automatic judgement to overload of vehicle situation, the technology maturation adopted, is skillfully constructed, and is extremely suitable for promoting on a large scale and using.
Accompanying drawing explanation
In order to the technical scheme of clearer explanation embodiments of the invention or prior art, introduce doing one to the accompanying drawing used required in embodiment or description of the prior art simply below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is process flow diagram of the present invention
Embodiment
For making the object of embodiments of the invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, clear complete description is carried out to the technical scheme in the embodiment of the present invention:
As shown in Figure 1: the overcrowding method for supervising of a kind of vehicle based on video, has following steps:
-using the central gangway of vehicle as surveyed area, the video image in acquisition testing region;
-choose a frame video image wherein as present frame, use the image that whether there is face characteristic in video analysis aisle region;
-if there is not the image of face characteristic, then judge that current passenger vehicle is as non-overload condition; If there is face characteristic image, continue to follow the tracks of this face characteristic image, if face characteristic image still exists in the time threshold of setting, and moving range is no more than position threshold, then judge that current passenger vehicle is as non-overload condition.
If there is plural face characteristic image in surveyed area, then directly temporally whether threshold determination face characteristic image still exists; If exist, then judge Current vehicle overload; If do not exist, then repeat determination step.
Have step: when detecting overload of vehicle, remote control center assigns instruction, control vehicle automatic retarding and stop, locked engine, and searching database, notify local traffic police.
Also had before described step " using the central gangway of vehicle as surveyed area, the video image in acquisition testing region ": the video image realizing collection vehicle passageway, determine benchmark image.
Owing to have employed technique scheme, the overcrowding method for supervising of a kind of vehicle based on video provided by the invention, by the detection to vehicle passageway, achieve the full-automatic judgement to overload of vehicle situation, the technology maturation adopted, is skillfully constructed, and is extremely suitable for promoting on a large scale and using.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.

Claims (4)

1., based on the overcrowding method for supervising of vehicle of video, there are following steps:
-using the central gangway of vehicle as surveyed area, the video image in acquisition testing region;
-choose a frame video image wherein as present frame, use the image that whether there is face characteristic in video analysis aisle region;
-if there is not the image of face characteristic, then judge that current passenger vehicle is as non-overload condition; If there is face characteristic image, continue to follow the tracks of this face characteristic image, if face characteristic image still exists in the time threshold of setting, and moving range is no more than position threshold, then judge that current passenger vehicle is as non-overload condition.
2. the overcrowding method for supervising of a kind of vehicle based on video according to claim 1, is further characterized in that: if there is plural face characteristic image in surveyed area, then directly temporally whether threshold determination face characteristic image still exists; If exist, then judge Current vehicle overload; If do not exist, then repeat determination step.
3. the overcrowding method for supervising of a kind of vehicle based on video according to claim 1, is further characterized in that to have step: when detecting overload of vehicle, remote control center assigns instruction, control vehicle automatic retarding to stop, locked engine, and searching database, notify local traffic police.
4. the overcrowding method for supervising of a kind of vehicle based on video according to claim 1, be further characterized in that: also had before described step " using the central gangway of vehicle as surveyed area; the video image in acquisition testing region ": the video image realizing collection vehicle passageway, determine benchmark image.
CN201310535202.1A 2013-10-31 2013-10-31 Video-based carriage overload monitoring method Pending CN104599339A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310535202.1A CN104599339A (en) 2013-10-31 2013-10-31 Video-based carriage overload monitoring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310535202.1A CN104599339A (en) 2013-10-31 2013-10-31 Video-based carriage overload monitoring method

Publications (1)

Publication Number Publication Date
CN104599339A true CN104599339A (en) 2015-05-06

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310535202.1A Pending CN104599339A (en) 2013-10-31 2013-10-31 Video-based carriage overload monitoring method

Country Status (1)

Country Link
CN (1) CN104599339A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109859491A (en) * 2019-03-18 2019-06-07 深圳前海车米云图科技有限公司 A kind of overload of vehicle situation judging method
CN110909641A (en) * 2019-11-13 2020-03-24 北京文安智能技术股份有限公司 Method, device and system for detecting overload of motorcycle
CN111832378A (en) * 2019-08-13 2020-10-27 北京嘀嘀无限科技发展有限公司 Method and device for identifying vehicle overtaking

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109859491A (en) * 2019-03-18 2019-06-07 深圳前海车米云图科技有限公司 A kind of overload of vehicle situation judging method
CN111832378A (en) * 2019-08-13 2020-10-27 北京嘀嘀无限科技发展有限公司 Method and device for identifying vehicle overtaking
CN110909641A (en) * 2019-11-13 2020-03-24 北京文安智能技术股份有限公司 Method, device and system for detecting overload of motorcycle

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Application publication date: 20150506