WO2016201804A1 - 物体定位方法及装置 - Google Patents
物体定位方法及装置 Download PDFInfo
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- WO2016201804A1 WO2016201804A1 PCT/CN2015/089671 CN2015089671W WO2016201804A1 WO 2016201804 A1 WO2016201804 A1 WO 2016201804A1 CN 2015089671 W CN2015089671 W CN 2015089671W WO 2016201804 A1 WO2016201804 A1 WO 2016201804A1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
Definitions
- the present invention relates to the field of communications, and in particular to an object positioning method and apparatus.
- the existing prevention techniques for accident escape are mainly through: installing a specific monitoring device on a motor vehicle, and recording vehicle related information in the event of an accident to prevent accidental escape. Secondly, based on video image technology, the vehicle is tracked and detected by a video surveillance device installed in a specific place, and the license plate number is recognized to lock the escaped motor vehicle.
- the present invention provides an object positioning method and apparatus for solving at least the problem of how to comprehensively record a vehicle traffic position in the related art, and no effective solution has been proposed.
- an object positioning method comprising: acquiring a travel trajectory of one or more objects within a predetermined area within a predetermined time period; acquiring the predetermined time period, in the Video information of the one or more objects within a predetermined area; determining a specified object from the one or more objects based on the travel trajectory and the video information.
- acquiring, in the predetermined time period, the driving track of the one or more objects within the predetermined area includes: connecting by a mobile terminal included in each of the one or more objects The base station locates the mobile terminal; and acquires the travel track according to the positioning information of each of the mobile terminals.
- acquiring the driving track according to the positioning information of each of the mobile terminals comprises: acquiring a speed of the one or more objects according to positioning information of each of the mobile terminals; in the one or more objects Monitoring a travel trajectory of the one or more objects if the speed is greater than or equal to a first predetermined threshold; monitoring the one or more if the speed of the one or more objects is less than a second predetermined threshold The location of the objects.
- determining a specified object package from the one or more objects according to the driving track and the video information And comparing: comparing the similarity between the object corresponding to the driving track and the object corresponding to the video information, and if the similarity is greater than a third predetermined threshold, using the object as the designated object.
- acquiring video information of the one or more objects within the predetermined area within the predetermined time period comprises: acquiring the video information by using a traffic monitoring video and/or a driving recorder.
- an object locating device comprising: a first acquiring module configured to acquire a trajectory of one or more objects within a predetermined area within a predetermined time period a second acquiring module, configured to acquire video information of the one or more objects within the predetermined area within the predetermined time period; and a determining module configured to be according to the driving track and the video information Determining a specified object from the one or more objects.
- the first acquiring module includes: a positioning unit configured to locate the mobile terminal by using a base station connected to the mobile terminal included in each of the one or more objects; and acquiring, according to each The positioning information of the mobile terminal acquires the driving track.
- the acquiring unit is further configured to acquire a speed of the one or more objects according to positioning information of each of the mobile terminals; a speed in the one or more objects is greater than or equal to a first predetermined threshold In the case of monitoring the travel trajectory of the one or more objects; monitoring the position of the one or more objects if the speed in the one or more objects is less than a second predetermined threshold.
- the determining module is further configured to compare an object corresponding to the driving track with an similarity of an object corresponding to the video information, where the similarity is greater than a third predetermined threshold, The object acts as the designated object.
- the second obtaining module is further configured to acquire the video information by using a traffic monitoring video and/or a driving recorder.
- acquiring a travel trajectory of one or more objects within a predetermined area within a predetermined time period acquiring video information of one or more objects within a predetermined area within a predetermined time period; Track and video information determines a specified object from one or more objects.
- FIG. 1 is a flow chart of an object positioning method according to an embodiment of the present invention.
- FIG. 2 is a block diagram showing the structure of an object positioning device according to an embodiment of the present invention.
- FIG. 3 is a block diagram showing an optional structure of an object positioning device according to an embodiment of the present invention.
- FIG. 4 is a structural diagram of a system for recording a traffic position to prevent escape according to an embodiment of the present invention
- FIG. 5 is a flow chart of a lock-in vehicle according to an embodiment of the present invention.
- FIG. 6 is a flow chart of active accident monitoring in accordance with an embodiment of the present invention.
- FIG. 1 is a flowchart of an object positioning method according to an embodiment of the present invention. As shown in FIG. 1, the process includes the following steps:
- Step S102 Acquire a travel track of one or more objects within a predetermined area within a predetermined time period
- Step S104 acquiring video information of one or more objects within a predetermined area within a predetermined time period
- Step S106 determining a specified object from one or more objects according to the traveling track and the video information.
- the object can be relatively accurately positioned according to the traveling trajectory of the object and the video information of the object. Compared with the related art, the object can only be positioned according to the video image of the object, and the above steps solve the related art.
- the problem of an effective solution has not been proposed, thereby achieving the effect of quickly locating the vehicle.
- the above step S102 relates to acquiring a travel trajectory of one or more objects within a predetermined area within a predetermined time period, and in an optional embodiment, connected by a mobile terminal included in each of the one or more objects.
- the base station locates the mobile terminal, and then acquires the foregoing travel track according to the positioning information of each of the mobile terminals. That is, the object can be located by acquiring the signaling of the mobile terminal stored in the object through various information.
- the speed of the one or more objects is acquired according to the positioning information of each mobile terminal, and one or more objects are monitored if the speed in the one or more objects is greater than or equal to the first predetermined threshold.
- Trajectory of travel in another alternative embodiment, monitoring the position of one or more objects in the event that the speed in one or more objects is less than a second predetermined threshold, thereby enabling positioning information according to each mobile terminal The above travel track was obtained.
- the above step S106 involves determining a specified object from one or more objects according to the travel trajectory and the video information. In an alternative embodiment, comparing the similarity between the object corresponding to the travel track and the object corresponding to the video information, In the case where the similarity is greater than the third predetermined threshold, the object is taken as the designated object.
- the above-mentioned step S104 involves acquiring video information of one or more objects in a predetermined area within a predetermined time period.
- the video information can be obtained in various manners, which will be exemplified below.
- the video information is obtained through a traffic monitoring video, and the video information can also be obtained by using a driving recorder.
- An object locating device is also provided in the embodiment, which is used to implement the above-mentioned embodiments and preferred embodiments, and the description thereof has been omitted.
- the term "module” may implement a combination of software and/or hardware of a predetermined function.
- the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
- the device includes: a first acquiring module 22 configured to acquire one or more objects within a predetermined area within a predetermined time period.
- the second acquisition module 24 is configured to acquire video information of one or more objects within a predetermined area within a predetermined time period;
- the determining module 26 is configured to The specified object is determined in the object.
- FIG. 3 is a block diagram showing an optional structure of an object locating device according to an embodiment of the present invention.
- the first acquiring module 24 includes: a positioning unit 242 configured to pass through a mobile terminal included in each one or more objects.
- the connected base station locates the mobile terminal;
- the obtaining unit 244 is configured to acquire the travel track according to the positioning information of each mobile terminal.
- the obtaining unit 244 is further configured to acquire, according to the positioning information of each mobile terminal, a speed of the one or more objects; and if the speed in the one or more objects is greater than or equal to a first predetermined threshold, monitoring the A travel trajectory of one or more objects; wherein the position of the one or more objects is monitored if the speed in the one or more objects is less than a second predetermined threshold.
- the determining module 26 is further configured to compare the object corresponding to the driving track with the similarity of the object corresponding to the video information, and if the similarity is greater than the third predetermined threshold, the object is used as the designated object.
- the second acquisition module 24 is further configured to acquire the video information through a traffic monitoring video and/or a driving recorder.
- each of the foregoing modules may be implemented by using software or hardware.
- the foregoing may be implemented by, but not limited to, the first obtaining module 22, the second obtaining module 24, and the determining module 26 are located. In the same processor; or, the first obtaining module 22, the second obtaining module 24, and the determining module 26 are located in the first processor, the second processor, and the third processor, respectively.
- the present invention provides a method for recording traffic position to prevent escape.
- the method adopts the following technical solution: acquiring position information; processing the collected position information, and calculating the speed according to the set determination rule (such as the speed of time) More than 10 km / h), tracking records, monitoring its trajectory, recording information including speed, position and time, for the point that does not meet the rules, only the location point record.
- the set determination rule such as the speed of time
- the alternative embodiment also provides a system for recording traffic locations to prevent escape, which is implemented as follows:
- FIG. 4 is a structural diagram of a system for recording a traffic position to prevent escape according to an embodiment of the present invention. As shown in FIG. 4, the system includes an acquisition subsystem, an analysis recognition subsystem, and a management subsystem.
- the acquisition subsystem supports multiple communication receiving modes, and is responsible for collecting all location information and video information and transmitting it to the analysis and recognition subsystem.
- Locations and videos can come from third-party commercial or open source organizations, or from research institutions. More typically, the location information comes from the operator's cell signaling location information, and the video information comes from the traffic monitoring video and the driving recorder.
- the collection module also performs simple processing on the received information, including available location information extraction of different information, video information filtering, and the like.
- the rules of the rules can be set through the management module. For the position data, measure the speed. For the speed to reach the rule, the tracking record is recorded, and the track information is saved to form a mobile motor vehicle information warehouse. For location data that does not satisfy the rule, only point information is retained.
- the existing video image processing technology is used to extract the vehicle information of the accident, and the accident vehicle information warehouse is formed according to the geographical location and time.
- the management subsystem is responsible for forming an escape vehicle set according to the accident screening rules and locking the identity of the motor vehicle.
- the typical accident occurrence time and place are respectively extracted from the motor vehicle information warehouse and the accident motor vehicle information warehouse to collect the motor vehicle assembly and the accident vehicle assembly.
- the present invention provides a method and system for recording traffic position to prevent escape, which can quickly lock an escape vehicle, effectively combat and prevent traffic escape crime.
- the technical implementation proposed in this alternative embodiment is implemented as follows:
- the acquisition subsystem obtains location and video information data from a third party system. Location information can be obtained from the carrier system. The operator system can obtain the location information by acquiring the mobile phone signaling location mode of the person on the vehicle. At present, the mobile phone penetration rate is already very high. For vehicles without special positioning devices or systems, the mobile phone signaling of the people on the vehicle can be collected.
- the mobile phone signaling positioning adopts the common No. 7 signaling positioning or Time Difference of Arrival (TDOA) positioning mode to convert the coordinate longitude latitude of the vehicle in real time.
- TDOA Time Difference of Arrival
- the traffic scene video sequence is collected from the traffic monitoring system.
- the acquisition subsystem also includes preliminary processing functions such as video compression and downsampling for high-resolution images to reduce data volume, save system overhead, and improve processing efficiency.
- the analysis and recognition subsystem collects the data collected by the subsystem, analyzes and identifies it, converts it into internally identifiable information, and stores it in the system.
- the speed is measured based on the front and rear position information collection intervals.
- the preset basic rules such as a speed of more than 10 km/h, it is identified as a mobile motor vehicle, and a mobile vehicle tracking instance is established.
- the system saves key information such as location data, speed, and mobile phone number in real time. For a location instance that does not satisfy the decision rule, it is identified as a stationary or walking instance, and the system only records the location point at regular intervals. For the mobile vehicle position data, the same processing is performed at the same time.
- the recognition subsystem determines the accident according to the change of the contour of the motor vehicle, intercepts the video information of the accident, and further identifies the license plate number.
- edge detection operators for example, canny operator
- SFIT Scale-Invariant Feature Transform
- improved SFIT improved SFIT and other technical means.
- the vehicle type and color are identified, along with time and location information.
- the accident level can be divided according to the degree of deformation of the vehicle profile. According to the preset rules, the system determines whether the system retains video information according to the accident level.
- the management subsystem has access to the system's data warehouse. After the escape occurs, you can enter the conditional time range, location and other basic input conditions or additional models, colors and other advanced conditions on the management page. When entering the above dimension conditions, the management subsystem searches for matching mobile motor vehicle information sets in the background. Corresponding to the accidental motor vehicle information set, and cross-correlation, showing possible accident motor vehicle information, accident video. At the same time, by matching the escape or the walking state, the surrounding witnesses can easily obtain the accident clue information and quickly lock the escape perpetrator.
- FIG. 5 is a flow chart of a lock-in vehicle according to an embodiment of the present invention. As shown in FIG. 5, the flow includes the following steps:
- Step S502 input a query condition
- Step S504 extracting a collection of information from the data warehouse
- Step S506 the intelligent cross contrast locks the escape related information.
- FIG. 6 is a flow chart of active accident monitoring according to an embodiment of the present invention. As shown in FIG. 6, the process includes the following steps:
- Step S602 detecting accident vehicle information in real time
- Step S604 it is determined whether the alarm level is reached, and if the determination result is yes, step S606 is performed;
- Step S606 matching mobile vehicle information to obtain more information of the accident vehicle
- step S608 an alarm is generated and displayed.
- An alternative embodiment of the present invention is directed to a current method and system for recording traffic locations to prevent escape.
- the license plate number is screened according to the position trajectory of the vehicle, supplemented by image analysis and cross-screening, to narrow the scope of the vehicle and lock the identity of the escaped vehicle, which can make the escaped personnel easy to be traced, and reduce the difficulty of solving the relevant departments.
- the escape risk of the driver is greatly reduced, thus effectively reducing the number of traffic accidents and escapes, and preventing escape.
- the method and system for performing escape detection based on traffic location location provided by the embodiments of the present invention have a wide range of functions, and can utilize existing networks, traffic monitoring systems, and have strong compatibility. And the advantage of low cost, can quickly lock the escape vehicle, effectively combat and prevent traffic escape crime, and also have a great effect on improving the traffic safety detection system.
- a software is also provided for performing the above embodiments and preferred embodiments The technical solution described in the above.
- a storage medium is further provided, wherein the software includes the above-mentioned software, including but not limited to: an optical disk, a floppy disk, a hard disk, an erasable memory, and the like.
- modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
- the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
- the invention is not limited to any specific combination of hardware and software.
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Abstract
一种物体定位方法及装置，其中，该方法包括：获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹（S102）；获取预定时间段内，在预定区域范围内的一个或者多个物体的视频信息（S104）；根据行驶轨迹和视频信息从一个或者多个物体中确定指定物体（S106）。该方法解决了相关技术中对于如何全面记录车辆交通位置，还未提出有效的解决方案的问题，进而达到了快速定位车辆的效果。
Description
本发明涉及通信领域，具体而言，涉及一种物体定位方法及装置。
机动车辆保有量逐年增加，已经成为人们出行的重要交通工具。但与此同时交通事故量也同步增长。个别驾驶员在发生事故之后，采取逃逸方式，给受害人及家庭带来极大伤害，给社会造成恶劣影响。
已有的针对肇事逃逸的防止技术，主要是通过：一在机动车上安装特定监控装置，在发生事故时候记录车辆相关信息从而实现肇事逃逸的防止。二基于视频图像技术，通过在特定场所，区域安装的视频监控设备对车辆进行跟踪检测，识别出车牌号从而锁定逃逸机动车。
这些技术方法大都有以下缺点，只能在已安装设备的特定场所，区域内发生的逃逸事故起到检测作用。在更大范围进行应用，还十分受限。同时方法二还易受拍摄角度，视频分辨率，车牌识别的准确率等多方面因素的干扰。
针对相关技术中，对于如何全面记录车辆交通位置的问题，还未提出有效的解决方案。
发明内容
本发明提供了一种物体定位方法及装置，以至少解决相关技术中对于如何全面记录车辆交通位置，还未提出有效的解决方案的问题。
根据本发明实施例的一个方面，提供了一种物体定位方法，包括：获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息；根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体。
可选地，获取所述预定时间段内，在所述预定区域范围内所述一个或者多个物体的所述行驶轨迹包括：通过各个所述一个或者多个物体中包括的移动终端所连接的基站对所述移动终端进行定位；根据各个所述移动终端的定位信息获取所述行驶轨迹。
可选地，根据各个所述移动终端的定位信息获取所述行驶轨迹包括：根据各个所述移动终端的定位信息获取所述一个或者多个物体的速度；在所述一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测所述一个或者多个物体的行驶轨迹；在所述一个或者多个物体中的速度小于第二预定阈值的情况下，监测所述一个或者多个物体的位置。
可选地，根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体包
括：将所述行驶轨迹对应的物体与所述视频信息对应的物体的相似度进行比较，在所述相似度大于第三预定阈值的情况下，将所述物体作为所述指定物体。
可选地，获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息包括：通过交通监控视频和/或行车记录仪获取所述视频信息。
根据本发明实施例的另一个方面，还提供了一种物体定位装置，所述装置包括：第一获取模块，设置为获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；第二获取模块，设置为获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息；确定模块，设置为根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体。
可选地，所述第一获取模块包括：定位单元，设置为通过各个所述一个或者多个物体中包括的移动终端所连接的基站对所述移动终端进行定位；获取单元，设置为根据各个所述移动终端的定位信息获取所述行驶轨迹。
可选地，所述获取单元还设置为根据各个所述移动终端的定位信息获取所述一个或者多个物体的速度；在所述一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测所述一个或者多个物体的行驶轨迹；在所述一个或者多个物体中的速度小于第二预定阈值的情况下，监测所述一个或者多个物体的位置。
可选地，所述确定模块还设置为将所述行驶轨迹对应的物体与所述视频信息对应的物体的相似度进行比较，在所述相似度大于第三预定阈值的情况下，将所述物体作为所述指定物体。
可选地，所述第二获取模块还设置为通过交通监控视频和/或行车记录仪获取所述视频信息。
通过本发明实施例，采用获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；获取预定时间段内，在预定区域范围内的一个或者多个物体的视频信息；根据行驶轨迹和视频信息从一个或者多个物体中确定指定物体。解决了相关技术中对于如何全面记录车辆交通位置，还未提出有效的解决方案的问题，进而达到了快速定位车辆的效果。
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的物体定位方法的流程图；
图2是根据本发明实施例的物体定位装置的结构框图；
图3是根据本发明实施例的物体定位装置的可选结构框图；
图4是根据本发明实施例的记录交通位置防止逃逸的系统结构图；
图5是根据本发明实施例的锁定肇事车辆流程图；
图6是根据本发明实施例的主动事故监测流程图。
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
在本实施例中提供了一种物体定位方法，图1是根据本发明实施例的物体定位方法的流程图，如图1所示，该流程包括如下步骤：
步骤S102，获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；
步骤S104，获取预定时间段内，在预定区域范围内的一个或者多个物体的视频信息；
步骤S106，根据行驶轨迹和视频信息从一个或者多个物体中确定指定物体。
通过上述步骤，可以根据物体的行驶轨迹和物体的视频信息，对物体进行比较精确的定位，相比于相关技术中，仅能根据物体的视频图像对物体进行定位，上述步骤解决了相关技术中对于如何全面记录车辆交通位置，还未提出有效的解决方案的问题，进而达到了快速定位车辆的效果。
上述步骤S102中涉及到获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹，在一个可选实施例中，通过各个上述一个或者多个物体中包括的移动终端所连接的基站对移动终端进行定位，然后根据各个上述移动终端的定位信息获取上述的行驶轨迹。即，可以通过各种信息获取物体中存放的移动终端的信令对物体进行定位。
在一个可选实施例中，根据各个移动终端的定位信息获取一个或者多个物体的速度，在一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测一个或者多个物体的行驶轨迹，在另一个可选实施例中，在一个或者多个物体中的速度小于第二预定阈值的情况下，监测一个或者多个物体的位置，从而实现了根据各个移动终端的定位信息获取了上述行驶轨迹。
上述步骤S106中涉及到根据行驶轨迹和视频信息从一个或者多个物体中确定指定物体，在一个可选实施例中，将行驶轨迹对应的物体与视频信息对应的物体的相似度进行比较，在相似度大于第三预定阈值的情况下，将该物体作为上述指定物体。
上述步骤S104中涉及到获取预定时间段内，在预定区域范围内的一个或者多个物体的视频信息，需要说明的是，可以通过多种方式获取上述视频信息，下面对此进行举例说明。在一个可选实施例中，通过交通监控视频获取上述视频信息，也可以通过行车记录仪获取上述视频信息。
在本实施例中还提供了一种物体定位装置，该装置用于实现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
图2是根据本发明实施例的物体定位装置的结构框图，如图2所示，该装置包括：第一获取模块22，设置为获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；第二获取模块24，设置为获取预定时间段内，在预定区域范围内的一个或者多个物体的视频信息；确定模块26，设置为根据行驶轨迹和视频信息从一个或者多个物体中确定指定物体。
图3是根据本发明实施例的物体定位装置的可选结构框图，如图3所示，第一获取模块24包括：定位单元242，设置为通过各个一个或者多个物体中包括的移动终端所连接的基站对该移动终端进行定位；获取单元244，设置为根据各个移动终端的定位信息获取上述行驶轨迹。
可选地，获取单元244还设置为根据各个移动终端的定位信息获取该一个或者多个物体的速度；在该一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测该一个或者多个物体的行驶轨迹；在该一个或者多个物体中的速度小于第二预定阈值的情况下，监测该一个或者多个物体的位置。
可选地，确定模块26还设置为将该行驶轨迹对应的物体与该视频信息对应的物体的相似度进行比较，在相似度大于第三预定阈值的情况下，将该物体作为该指定物体。
可选地，第二获取模块24还设置为通过交通监控视频和/或行车记录仪获取该视频信息。
需要说明的是，上述各个模块是可以通过软件或硬件来实现的，对于后者，可以通过以下方式实现，但不限于此：第一获取模块22、第二获取模块24和确定模块26均位于同一处理器中；或者，第一获取模块22、第二获取模块24和确定模块26分别位于第一处理器、第二处理器和第三处理器中。
针对相关技术中存在的上述问题，下面结合具体地可选实施例进行说明。
本可选实施例提供了一种记录交通位置防止逃逸的方法，该方法采用如下技术方案：获取位置信息；对采集到的位置信息进行处理，测算出速度，根据设定的判定规则(如时速大于10千米/小时)，进行跟踪记录，监测其运行轨迹，记录包括时速，位置与时间等信息，对于不满足规则的，仅仅进行位置点记录。
获取各场景视频图像；进行图像分析，进行局部特征提取等判断出发生车祸的机动车辆，识别出车祸车辆信息，包括颜色，型号，车牌号码等可以被识别并提取的信息；
当发生逃逸事件时，根据逃逸发生时段内，事故区域内出现的轨迹记录，并结合筛选规则，分别匹配出可能的事故机动车信息集与图像分析提取的该区域内的发生车祸的车辆信息集；将两个匹配信息集进行交叉对比，锁定相关肇事机动车。
本可选实施例还提供了一种记录交通位置防止逃逸的系统，按以下步骤实现：
图4是根据本发明实施例的记录交通位置防止逃逸的系统结构图，如图4所示，该系统包括采集子系统，分析识别子系统，管理子系统。
(1)采集子系统支持多种通讯接收方式，负责采集所有位置信息与视频信息，传送给分析识别子系统。位置与视频可以来自第三方的商业或者开源机构，也可以来自研机构。更典型的，位置信息来自运营商的小区信令位置信息，视频信息来自交通监控视频与行车记录仪。其中采集模块还会对接收到的信息进行简单处理，包括不同信息的可用位置信息提取，视频信息过滤等。
(2)分析识别子系统，对于收到的位置数据与视频数据根据约定的规则进行处理。其中规则的约定可通过管理模块进行设置。对位置数据，测算出速度。对于速度达到规则的，进行跟踪记录，保存其轨迹信息形成移动机动车信息仓库。对于不满足规则的位置数据，仅仅保留点位信息。对视频数据，利用现有视频图像处理技术提取车祸车辆信息，配合地理位置与时间形成事故车辆信息仓库。
(3)管理子系统，负责根据事故筛选规则，形成逃逸机动车集，锁定肇事机动车身份。根据事故信息，典型的事故的发生时段，地点，分别从机动车信息仓库与事故机动车信息仓库提取出行驶机动车集合与事故机动车集合。进行智能交叉比对，包括车型，颜色，车牌等可以辨识的信息对比，形成逃逸车集合，最终锁定逃逸车辆。
本可选实施例所提出一种记录交通位置防止逃逸的方法与系统，可快速锁定逃逸车辆，有效的打击与防止交通逃逸犯罪。本可选实施例提出的技术实现，是按以下步骤实现的：
a.采集子系统从第三方系统获取位置与视频信息数据。位置信息可以从运营商系统获取。运营商系统可通过信获取车辆上所在人的手机信令定位方式获取位置信息。目前手机普及率已经非常高，对于未安装特殊定位装置或系统的车辆，车辆上的人的手机信令是可以采集到的。手机信令定位采用常见的七号信令定位或者到达时间差(Time Difference of Arrival，简称为TDOA)定位方式，转化实时得到车辆的坐标经度纬度。同时从交通监控系统时时采集交通场景视频序列。考虑到视频数据和网络通信的压力，采集子系统还包含视频压缩和针对高分辨率图像进行降采样等初步处理功能，以减少数据量，节省系统开销，提升处理效率。
b.分析识别子系统将采集子系统采集到的数据，进行分析识别，转化为内部可识别的信息，保存在系统内。对于位置信息，根据前后位置信息采集间隔，测算出速度。根据预设的判定基础规则，比如时速大于10千米/小时的，识别为移动机动车，建立移动机动车跟踪实例，系统实时保存位置数据，时速，手机号等关键信息。对于不满足判定规则的位置实例，识别为静止或者步行实例，系统仅隔一定间隔记录位置点即可。对于移动机动车位置数据同时进行去同处理，如果连续速度完全一致，且范围一直在较小范围，则认为是同一机动车，不进行重复跟踪记录。对于采集到的视频信息，识别子系统根据机动车轮廓变化等判定出事故发生，截取事故视频信息，进一步进行车牌号码识别。对于车祸事故的判定已有边缘检测算子(例如，canny算子)提取视频车辆轮廓对比三维车辆轮廓，以及局部特征的尺度不变特征变换
(Scale-Invariant Feature Transform，简称为SFIT)对比，以及改进的SFIT等技术手段。对于未能识别到车牌号码的事故机动车，识别出车型与颜色，连同时间，位置信息进行记录。可选可根据机动车轮廓变形程度，划分事故等级。根据预设规则，按照事故等级决定系统是否保留视频信息。
c.管理子系统可访问系统的数据仓库。当逃逸发生后，可在管理页面上输入条件时间范围，地点等基本输入条件或者附加车型，颜色等高级条件，当输入上述维度条件的时候，管理子系统在后台搜索匹配的移动机动车信息集与匹配的事故机动车信息集，并进行交叉对比，展示可能的肇事机动车信息，事故视频。同时还通过经静止或者步行状态匹配出逃逸发生时候，周围的目击者，便于进一步获取到事故线索信息，迅速锁定逃逸肇事者。
图5是根据本发明实施例的锁定肇事车辆流程图，如图5所示，该流程包括如下步骤：
步骤S502，输入查询条件；
步骤S504，从数据仓库提取信息集合；
步骤S506，智能交叉对比锁定逃逸相关信息。
此外也可进行事故监测与主动告警当发生预设的告警事故等级的交通事故发生，则可在界面通过地图发生事故的地点进行告警提示。图6是根据本发明实施例的主动事故监测流程图，如图6所示，该流程包括如下步骤：
步骤S602，实时检测事故机动车信息；
步骤S604，判断是否达到事故告警级别，在判断结果为是的情况下，执行步骤S606；
步骤S606，匹配移动机动车信息获取事故车辆更多信息；
步骤S608，生成告警并展示。
目前通信网络发展迅速，手机普及率及达到空前高度。本发明可选实施例就是针对当前的这种情况，提供一种记录交通位置防止逃逸的方法与系统。通过通用终端方式，根据车辆的位置轨迹进行车牌号筛选，辅以图像分析交叉筛选，达到缩小肇事车辆范围，锁定逃逸车辆身份，可以使肇事逃逸人员容易被追查，降低相关部门的破案难度，增大肇事司机的逃逸风险，从而有效降低交通肇事逃逸事件的数量，起到防止逃逸。
综上所述，通过本发明实施例提供的一种基于交通位置定位来进行逃逸检测的方法与系统具有作用范围广，同时可利用现有的网络，交通监控系统，兼具较强的兼容性和低成本的优势，可快速锁定逃逸车辆，有效的打击与防止交通逃逸犯罪，对于完善交通安全检测系统也有很大的作用。
工业实用性：通过本发明实施例，解决了相关技术中对于如何全面记录车辆交通位置，还未提出有效的解决方案的问题，达到了快速定位车辆的效果。
在另外一个实施例中，还提供了一种软件，该软件用于执行上述实施例及优选实施方式
中描述的技术方案。
在另外一个实施例中，还提供了一种存储介质，该存储介质中存储有上述软件，该存储介质包括但不限于：光盘、软盘、硬盘、可擦写存储器等。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
Claims (10)
- 一种物体定位方法，包括：获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息；根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体。
- 根据权利要求1所述的方法，其中，获取所述预定时间段内，在所述预定区域范围内所述一个或者多个物体的所述行驶轨迹包括：通过各个所述一个或者多个物体中包括的移动终端所连接的基站对所述移动终端进行定位；根据各个所述移动终端的定位信息获取所述行驶轨迹。
- 根据权利要求2所述的方法，其中，根据各个所述移动终端的定位信息获取所述行驶轨迹包括：根据各个所述移动终端的定位信息获取所述一个或者多个物体的速度；在所述一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测所述一个或者多个物体的行驶轨迹；在所述一个或者多个物体中的速度小于第二预定阈值的情况下，监测所述一个或者多个物体的位置。
- 根据权利要求1所述的方法，其中，根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体包括：将所述行驶轨迹对应的物体与所述视频信息对应的物体的相似度进行比较，在所述相似度大于第三预定阈值的情况下，将所述物体作为所述指定物体。
- 根据权利要求1至4中任一项所述的方法，其中，获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息包括：通过交通监控视频和/或行车记录仪获取所述视频信息。
- 一种物体定位装置，所述装置包括：第一获取模块，设置为获取预定时间段内，在预定区域范围内一个或者多个物体的行驶轨迹；第二获取模块，设置为获取所述预定时间段内，在所述预定区域范围内的所述一个或者多个物体的视频信息；确定模块，设置为根据所述行驶轨迹和所述视频信息从所述一个或者多个物体中确定指定物体。
- 根据权利要求6所述的装置，其中，所述第一获取模块包括：定位单元，设置为通过各个所述一个或者多个物体中包括的移动终端所连接的基站对所述移动终端进行定位；获取单元，设置为根据各个所述移动终端的定位信息获取所述行驶轨迹。
- 根据权利要求7所述的装置，其中，所述获取单元还设置为根据各个所述移动终端的定位信息获取所述一个或者多个物体的速度；在所述一个或者多个物体中的速度大于或者等于第一预定阈值的情况下，监测所述一个或者多个物体的行驶轨迹；在所述一个或者多个物体中的速度小于第二预定阈值的情况下，监测所述一个或者多个物体的位置。
- 根据权利要求6所述的装置，其中，所述确定模块还设置为将所述行驶轨迹对应的物体与所述视频信息对应的物体的相似度进行比较，在所述相似度大于第三预定阈值的情况下，将所述物体作为所述指定物体。
- 根据权利要求6至9中任一项所述的装置，其中，所述第二获取模块还设置为通过交通监控视频和/或行车记录仪获取所述视频信息。
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| CN114342425A (zh) * | 2019-09-13 | 2022-04-12 | 高通股份有限公司 | 基于事件的寻呼、基于事件的通知和寻呼资源协调 |
| CN114342425B (zh) * | 2019-09-13 | 2023-12-08 | 高通股份有限公司 | 基于事件的寻呼、基于事件的通知和寻呼资源协调 |
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| CN106257558A (zh) | 2016-12-28 |
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