CN109146914A - A kind of drink-driving behavior method for early warning of the highway based on video analysis - Google Patents

A kind of drink-driving behavior method for early warning of the highway based on video analysis Download PDF

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CN109146914A
CN109146914A CN201810636679.1A CN201810636679A CN109146914A CN 109146914 A CN109146914 A CN 109146914A CN 201810636679 A CN201810636679 A CN 201810636679A CN 109146914 A CN109146914 A CN 109146914A
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vehicle
driving
drink
driving behavior
information
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CN109146914B (en
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陆惠丰
吕宝贵
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Shanghai Municipal Engineering Design Insitute Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/215Motion-based segmentation
    • G06T5/70
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20228Disparity calculation for image-based rendering
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Abstract

A kind of drink-driving behavior method for early warning the present invention provides highway based on video analysis, which comprises the following steps: trajectory computation step, shoot by way of track of vehicle, to track carry out algorithm analysis, judge whether doubtful drink-driving vehicle;Path monitoring step monitors the driving path of doubtful drink-driving vehicle, generates the driving information of the vehicle and alarm;Drunk driving judgment step, confirm the vehicle whether drunk driving;Tracking step is monitored, dispatcher is monitored vehicle;Rale violation warnings step, alerts the vehicle and stops drunk driving behavior, provides warning information to other drivers;Information storing step individually stores the driving information of the vehicle;The present invention has the advantages that track identification judges drink-driving, driving behavior is automatically analyzed, processing is reliable rapidly;For freeway management person's early warning dangerous driving behavior vehicle, it is horizontal to improve Operation and Management of Expressway.

Description

A kind of drink-driving behavior method for early warning of the highway based on video analysis
Technical field
A kind of drink-driving behavior the present invention relates to field of traffic control more particularly to highway based on video analysis Method for early warning.
Background technique
" People's Republic of China Road Traffic Safety Law " Article 22 the regulation, " spirit for national regulatory of drinking, take Perhaps narcotics perhaps has the disease for interfering safe driving motor vehicle or defatigation to influence safe driving to drug, no Obtain operating motor vehicles."
In fact drinking drive motor vehicle illegal incidents are commonplace, and drunk driving does not only result in vehicle, cargo and the life of driver and passenger Life and property loss also cause road, bridge, tunnel, house etc. to build and build upper attached all kinds of management equipments, mark The damage of label.Highway is different from urban road, because of its closure and the needs continuously driven, halfway without law enforcement people Member carries out drunk driving behavioral value, and the personnel that cause much to drink cherish idea of leaving things to chance, drives into highway after drinking.And highway Because car speed is fast, vehicle amount is big, traffic accident consequence occurs usually than more serious.Traffic accident would generally be to entire road Traffic produce and seriously affect, road can not be restored in the short time, and be easy to cause second accident.
Freeway management at this stage is mainly that monitoring center monitor is managed by video, because of video equipment number Measure more, the work of monitor is laid particular emphasis on to dispatch deal after the accident, lacks effectively observation to vehicle drive behavior.It can To say that existing control of traffic and road means have management blind area for drinking drive behavior, it can not find that in time driving behavior is different Normal vehicle, can not predict driving behavior exception vehicle i.e. by bring harm, can not drink to highway has been swarmed into Driver carries out any management.Traffic accident vehicle can be just only arrested after accident generation, behaviour post-processing of going forward side by side.It is this Processing means can not safeguard road traffic order, it is difficult to retrieve property caused by drunk driving vehicle and human loss.
Summary of the invention
A kind of drink-driving behavior method for early warning the object of the present invention is to provide highway based on video analysis is realized Road order is safeguarded in discovery, early warning, guidance to highway drunk driving vehicle is swarmed into the maximum extent, ensures that the people are raw Order property and with freeway infrastructure equipment safety.
To achieve the goals above, the technical scheme is that
A kind of drink-driving behavior method for early warning of the highway based on video analysis, which comprises the following steps:
Step S1) trajectory computation step, shoot by way of vehicle, the driving path of vehicle is obtained, to vehicle in origin and destination path On driving behavior carry out irrelevance signature analysis, determine vehicle whether there is drink-driving, if so, carry out step S2, if It is no, then return step S1;
Step S2) path monitoring step, the driving path of doubtful drink-driving vehicle is monitored, generates the driving information of the vehicle simultaneously Alarm;
Step S3) drunk driving judgment step, doubtful alarm signal is received, the vehicle drive information is received, calls vehicle running path Upper subsequent video camera persistently shoots the vehicle, is confirmed again according to the irrelevance signature analysis in step S1, is mentioned after confirmation Artificial analysis, the manual confirmation vehicle whether drunk driving, if so, carrying out step S4;If it is not, then stopping tracking the vehicle, return It is back to step S1;
Step S4) monitoring tracking step, scheduling high-speed highway law enfrocement official and road administration inspection inspection personnel supervise the vehicle Control;
Step S5) rale violation warnings step, it alerts the vehicle and stops drunk driving behavior, sails out of highway into service area or nearby, And other drivers provide warning information near the vehicle;
Step S6) information storing step, the driving information of the vehicle is individually stored.
Further, the trajectory computation step following steps:
Step S101) background image is selected from sequence of video images, background model is established by ViBe algorithm;
Step S102) it is directed to each vehicle for entering shooting area, it is adjacent in sequence of video images by frame differential method Two frames make calculus of differences, and previous frame image is pk-1 (x, y), and current frame image is pk (x, y);
Step S103) it judges whether there is vehicle and drives into detection zone, if so, jump procedure S104;If it is not, then jump procedure S102;
Step S104) calculate present frame and background frames poor FD (x, y), complete target is extracted from image;Calculate preceding 1 frame With the poor FG (x, y) of background frames, the variable quantity of target is obtained;
Step S105) intersection of asking FD (x, y) Yu FG (x, y), obtain the coarse moving region image of moving target;
Step S106) through mathematical morphological operation, moving region is closed, is continuous, is complete, removes the noise in background;
Step S107) judge whether vehicle sails out of shooting area, if so, jump procedure S108;If it is not, then return step S105;
Step S108) for each vehicle into shooting area, it calculates inlet point position and leaves a position straight line path;
Step S109) it calculates separately in each frame image, the irrelevance between a straight line is left in vehicle location and entrance;
Step S110) judge whether appearance position positive deviation and negative bias reach three times vehicle from number simultaneously, if so, the vehicle For doubtful drink-driving vehicle;If it is not, then the vehicle is not drink-driving vehicle.
Further, the driving information includes the short-sighted frequency of vehicle behavior and vehicle closeup photograph.
The present invention has the advantages that
1) vehicle driving behavior is judged using frame differential method to vehicle driving trace, the algorithm is without parsing picture in its entirety, only Difference between analysis picture, automatically analyzes the driving behavior of vehicle on highway driver, and analysis process is reliable rapidly;
2) it is freeway management person's early warning dangerous driving behavior vehicle, realizes the fine-grained management to vehicle on highway, mention High Operation and Management of Expressway is horizontal;
3) dangerous driving behavior vehicle is intervened in time, other drivers of the early warning vehicle periphery avoid highway traffic accident With great life and property loss.
Detailed description of the invention
Fig. 1 is overall flow schematic diagram of the present invention;
Fig. 2 is the flow diagram of path monitoring step in the present invention;
Fig. 3 is the flow diagram that tracking step is monitored in the present invention;
Fig. 4 is the idiographic flow schematic diagram of trajectory computation step in the present invention;
System structure diagram when Fig. 5 is present invention specific implementation.
Appended drawing reference:
1 video monitoring system, 101 capture apparatus, 102 drink-driving analysis module
103 video processing module, 104 alarm module, 2 monitoring center
3 scheduling systems 301 connect 302 road administration polling module of scheduler module of dealing with emergencies and dangerous situations
4 variable information board, 5 information storage system.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment: a kind of drink-driving behavior early warning system of the highway based on video analysis, as shown in figure 5, it is special Sign is that it includes video monitoring system 1, is connected to monitoring center 2, including capture apparatus 101, drink-driving analysis module 102, video processing module 103 and alarm module 104, the capture apparatus 101 are connected to drink-driving analysis module 102, institute It states drink-driving analysis module 102 and is respectively connected to video processing module 103 and alarm module 104, the video processing module 103 and alarm module 104 be connected to monitoring center 2;
Above-mentioned capture apparatus 101 includes bayonet video monitoring camera, the alert video monitoring camera of electricity, the camera shooting of section video monitoring Machine and high point monitor camera, the alert video monitoring camera of the bayonet video monitoring camera, electricity, the camera shooting of section video monitoring Machine, high point monitor camera are built facility along highway, according to highway daily management demand to these camera shootings Machine is managed maintenance, it is kept to be communicated with monitoring center 2;
In addition, it further includes
The monitoring center 2;
Scheduling system 3, the scheduling system 3 are connected to monitoring center 2;
Variable information board 4, the variable information board 4 are connected to monitoring center 2;
Information storage system 5, the information storage system 5 are connected to monitoring center 2.
In the present embodiment, as shown in Figure 1, under drink-driving behavior method for early warning of the highway based on video analysis includes Column step,
Step S1) trajectory computation step, 101 captured in real-time of capture apparatus by way of vehicle, and be sent to drink-driving analysis mould Block 102, to by way of track of vehicle carry out algorithm analysis, judge whether doubtful drink-driving vehicle, if so, carry out step S2, if it is not, then return step S1;
Step S2) path monitoring step, as shown in Fig. 2, capture apparatus 101 persistently monitors the traveling road of doubtful drink-driving vehicle Diameter, and it is sent to drink-driving analysis module 102, drink-driving analysis module 102 obtains the driving path of vehicle, exists to vehicle Driving behavior on the path of origin and destination carries out irrelevance signature analysis, judges whether there is doubtful drink-driving behavior, doubts if it exists Like drink-driving behavior, then drink-driving analysis module 102 sends real-time vehicle video to video processing module 103, at video Reason module 103 intercepts the short-sighted frequency and closeup photograph of doubtful drink-driving vehicle from real-time vehicle video, is sent in monitoring The heart 2, while video processing module 103 sends start command to alarm module 104, alarm module 104 is alarmed to monitoring center 2;
Step S3) drunk driving judgment step, the alarm signal that 2 receiving alarm module 104 of monitoring center is sent, reception video processing mould The vehicle drive information that block 103 generates, by the video and photographic intelligence of the large screen display of monitoring center 2 vehicle, and It transfers subsequent capture apparatus 101 on vehicle running path and persistently shoots the vehicle, show the real-time figure of subsequent capture apparatus 101 Picture, by all kinds of video cameras subsequent on the vehicle running path, the video camera including crossing, road and roadside all presses traveling Sequence is shown, guarantees the available complete monitoring in form path of the vehicle, again according to the irrelevance feature in step S1 point Analysis confirmed, the manual confirmation vehicle whether drunk driving, if so, carrying out step S4;If it is not, then stopping tracking the vehicle, return It is back to step S1;
Step S4) monitoring tracking step, as shown in figure 3, being dispatched by connecing deal with emergencies and dangerous situations scheduler module 301 and road administration polling module 302 Highway law enfrocement official and road administration inspection inspection personnel are monitored the vehicle;
Wherein, the scheduler module 301 of dealing with emergencies and dangerous situations that connects is built by traffic police department, provides remote alarm interface for monitoring center 2, in monitoring Collaborative work approach is established between the heart 2 and high speed traffic police administrative department;
The road administration polling module 302 is built by freeway management department, monitoring center 2 can by road administration cruising inspection system to Road administration patrol officer issues inspection order;
Step S5) rale violation warnings step, by the variable information board 4 in highway roadside, alert the vehicle stop drunk driving behavior, Highway is sailed out of into service area or nearby, and specifically, the display printed words of itself can be changed in variable information board 4, alert liquor-saturated Drunk driving sails vehicle and stops drunk driving behavior, prompts the case where there are drink-drivings around other drivers near the vehicle, reaches The purpose of danger early warning.
Step S6) information storing step, information storage system 5 individually stores the driving information of the vehicle, independent to store Driving information include drink-driving vehicle short-sighted frequency and closeup photograph, for doing driving behavior analysis afterwards, and to liquor-saturated Wine driver carries out illegal activities punishment.
As shown in figure 4, the trajectory computation step following steps:
Step S101) background image is selected from sequence of video images, background model is established by ViBe algorithm;
Step S102) it is directed to each vehicle for entering shooting area, it is adjacent in sequence of video images by frame differential method Two frames make calculus of differences, and previous frame image is pk-1 (x, y), and current frame image is pk (x, y);
Step S103) it judges whether there is vehicle and drives into detection zone, if so, jump procedure S104;If it is not, then jump procedure S102;
Step S104) calculate present frame and background frames poor FD (x, y), complete target is extracted from image;Calculate preceding 1 frame With the poor FG (x, y) of background frames, the variable quantity of target is obtained;
Step S105) intersection of asking FD (x, y) Yu FG (x, y), obtain the coarse moving region image of moving target;
Step S106) through mathematical morphological operation, moving region is closed, is continuous, is complete, removes the noise in background;
Step S107) judge whether vehicle sails out of shooting area, if so, jump procedure S108;If it is not, then return step S105;
Step S108) for each vehicle into shooting area, it calculates inlet point position and leaves a position straight line path;
Step S109) it calculates separately in each frame image, the irrelevance between a straight line is left in vehicle location and entrance;
Step S110) judge whether appearance position positive deviation and negative bias reach three times vehicle from number simultaneously, if so, the vehicle For doubtful drink-driving vehicle;If it is not, then the vehicle is not drink-driving vehicle.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into Row equivalent replacement;And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (3)

1. a kind of drink-driving behavior method for early warning of highway based on video analysis, which comprises the following steps:
Step S1) trajectory computation step, shoot by way of vehicle, the driving path of vehicle is obtained, to vehicle in origin and destination path On driving behavior carry out irrelevance signature analysis, determine vehicle whether there is drink-driving behavior, if so, carry out step S2, if it is not, then return step S1;
Step S2) path monitoring step, the driving path of doubtful drink-driving vehicle is monitored, generates the driving information of the vehicle simultaneously Do doubtful alarm;
Step S3) drunk driving judgment step, doubtful alarm signal is received, the vehicle drive information is received, calls vehicle running path Upper subsequent video camera persistently shoots the vehicle, is confirmed again according to the irrelevance signature analysis in step S1, is mentioned after confirmation Artificial analysis, the manual confirmation vehicle whether drunk driving, if so, carrying out step S4;If it is not, then stopping tracking the vehicle, return It is back to step S1;
Step S4) monitoring tracking step, scheduling high-speed highway law enfrocement official and road administration inspection inspection personnel supervise the vehicle Control;
Step S5) rale violation warnings step, it alerts the vehicle and stops drunk driving behavior, sails out of highway into service area or nearby, And other drivers provide warning information near the vehicle;
Step S6) information storing step, the driving information of the vehicle is individually stored.
2. a kind of drink-driving behavior method for early warning of the highway according to claim 1 based on video analysis, special Sign is, the trajectory computation step following steps:
Step S101) background image is selected from sequence of video images, background model is established by ViBe algorithm;
Step S102) it is directed to each vehicle for entering shooting area, it is adjacent in sequence of video images by frame differential method Two frames make calculus of differences, and previous frame image is pk-1 (x, y), and current frame image is pk (x, y);
Step S103) it judges whether there is vehicle and drives into detection zone, if so, jump procedure S104;If it is not, then jump procedure S102;
Step S104) calculate present frame and background frames poor FD (x, y), complete target is extracted from image;Calculate preceding 1 frame With the poor FG (x, y) of background frames, the variable quantity of target is obtained;
Step S105) intersection of asking FD (x, y) Yu FG (x, y), obtain the coarse moving region image of moving target;
Step S106) through mathematical morphological operation, moving region is closed, is continuous, is complete, removes the noise in background;
Step S107) judge whether vehicle sails out of shooting area, if so, jump procedure S108;If it is not, then return step S105;
Step S108) for each vehicle into shooting area, it calculates inlet point position and leaves a position straight line path;
Step S109) it calculates separately in each frame image, the irrelevance between a straight line is left in vehicle location and entrance;
Step S110) judge whether appearance position positive deviation and negative bias reach three times vehicle from number simultaneously, if so, the vehicle For doubtful drink-driving vehicle;If it is not, then the vehicle is not drink-driving vehicle.
3. a kind of drink-driving behavior method for early warning of the highway according to claim 1 based on video analysis, special Sign is that the driving information includes the short-sighted frequency of vehicle behavior and vehicle closeup photograph.
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CN112418000A (en) * 2020-11-05 2021-02-26 武汉理工大学 Bad driving behavior detection method and system based on monocular camera
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