CN202887218U - Apparatus for calculating population in area space - Google Patents
Apparatus for calculating population in area space Download PDFInfo
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- CN202887218U CN202887218U CN 201220264276 CN201220264276U CN202887218U CN 202887218 U CN202887218 U CN 202887218U CN 201220264276 CN201220264276 CN 201220264276 CN 201220264276 U CN201220264276 U CN 201220264276U CN 202887218 U CN202887218 U CN 202887218U
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Abstract
An apparatus for calculating population in an area space comprises a collection module (10), a video processing module (20), a removing module (30), a storage module (40), a human body target identification module (50), a data processing module (60) and a data output module (70), wherein all the modules are connected in order. Firstly, image information and infrared temperature information in a monitored area are collected simultaneously. Secondly, targets not according with the temperatures of the human body, in the monitored area, are removed based on the infrared temperature information. Thirdly, people in the monitored area are identified. Finally, the number of the people that are identified is calculated and a result is output. Compared with a conventional system, the apparatus is simpler, is convenient to use, is easy to identify by a computer system in terms of application method, is rapid in detection speed, occupies less memory, and is capable of effectively, rapidly and accurately calculating the number of population in the space area.
Description
Technical field
The utility model relates to data processing technique, particularly crowd's quantity statistics device in the area of space.
Background technology
In today that the information system management level improves day by day, carry out crowd's quantity statistics for huge places of flow of the people such as station, market, supermarkets, and according to what of the volume of the flow of passengers, can reasonably reduce the large energy consumption equipment such as opening amount of air-conditioning, be that economy is energy-conservation again like this, but also environmental protection.For this problem, the detection of crowd's quantity has been played key effect in automatic video monitoring, the interpersonal many-side application such as mutual.Traditional crowd's statistical method is based on artificial technology or artificial electronic equipment flip-flop number and realizes.The method not only workload is large, and wrong report and rate of failing to report are high, and efficient is very low, and is subject to equipment and staff's restriction, and range of application is extremely limited.Along with the development of computer technology, utilize computer vision and image processing techniques, realize video crowd demographics, in the public administration field of reality, be widely used.At present, mainly followed technically the general step of crowd's detection, tracking technique based on crowd's statistical method of video monitoring.The method is single in background, in the lower situation of crowd density, especially for single alone by a certain zone, have good statistics effect.But, because China is populous nation, crowd's One's name is legion, and the characteristics such as flowability is larger.Therefore, imperative for a kind of device of adding up for the regional space crowd of research.
The utility model content
The utility model provides a kind of device that the regional space crowd is added up, and adopts multiple recognition method combination and automatically adds up the drawback that can not add up large crowd in the solution prior art.
The utility model comprises acquisition module, video processing module, rejecting module, memory module, human body target identification module, data processing module and the data outputting module that connects successively for this device that the regional space crowd is added up that provides is provided.Described acquisition module comprises video acquisition module and the infrared temperature detecting module that connects respectively video processing module; Described human body target identification module comprises image comparison module, Head recognition module and human-shaped body identification module; This device also comprises respectively data disaply moudle and the data communication module of connection data output module.
And the statistical method of this device may further comprise the steps: A. gathers image information and the infrared temperature information of surveillance area at first simultaneously; B. color image information is converted to gray level image information; C. according to infrared temperature information in the guarded region that gathers in the steps A, reject the target that does not meet human body temperature in the guarded region; D. the human body in the guarded region is identified; E. the human body quantity of identifying is carried out statistical computation, and the result is exported.
The collection period of image information described in the steps A and infrared temperature information can arrange any a period of time take millisecond, second, minute, hour as unit, human body identification among the step D comprises step by step following: D1. worked as for two image frame grabber times very in short-term, during such as 1ms, 10ms, can adopt front and back two two field pictures in the same area are compared, reject repeater's body target; D2. to identifying according to number of people feature in the surveillance area, and will be defined as the mark that carries out of human body; D3. the part that is not labeled is carried out characteristics of human body's identification.
The identification of human body among step D2 and the D3 be center in the surveillance area as the center of circle, with the concentric circles form around the outside scanning search of this center of circle from coil to coil.The computing method of human body quantity are that fixed human body among the step D is accumulated in the step e.The output of data described in the step e comprises by display screen and shows statistics, statistics is outputed in other equipment or the background management system by data-out port.
The utility model mainly by camera acquisition to image process, analyze and rejecting etc. that thermal camera carries out pseudo-human body target finally realizes the crowd in the area-of-interest is added up, can be for crowd's quantity real-time statistics, therefore, can be used as the strong foundation of crowd's flow control.Utilize a kind of device that the regional space crowd is added up of the present utility model to play critical effect in the place that the crowd is dense such as waiting room, passenger station at the train station.The advantages such as it is simpler that this device is compared system, easy to use, and using method is identified by computer system easily, and detection speed is fast, and committed memory is few.Can be effective, fast, add up accurately crowd's quantity of railway station waiting room, also can be according to crowd's quantity of calculating, reasonably close the equipment of the large energy consumption such as some unwanted air-conditionings, not only ensured personal safety, also reached the purpose of energy-saving and emission-reduction, when having met the trend of national development, also reached the effect of environmental protection.Its utilization has following beneficial effect:
1, this utility model is a device, and it is simpler to compare system, easy to use.
2, this device adopts the image-capture mode, the crawl time can arrange, such as every millisecond, per second, per minutes etc. can be by the candid photograph time of setting, grasp the situation of change of the crowd's quantity in a period of time, reach real-time Monitoring Population quantity, and then reasonably control the volume of the flow of passengers, guarantee personal safety.
3, the method has improved real-time, and noise resisting ability is strong and committed memory is little, the precision advantages of higher.
4, for highdensity place on a large scale, still accomplish high precision crowd quantity statistics, for control crowd quantity plays immeasurable value, not only ensured personal safety, can also be as the effective reference frame of large energy consumption equipment use amount, i.e. energy-conservation again environmental protection.
Description of drawings
Fig. 1 is the synoptic diagram of device described in the utility model.
Embodiment
In conjunction with above-mentioned description of drawings specific embodiment of the utility model.
By among Fig. 1 as can be known, a kind of device that the regional space crowd is added up of the utility model comprises successively the acquisition module 10, the video processing module 20 that connect, rejects module 30, memory module 40, human body target identification module 50, data processing module 60 and data outputting module 70.Described acquisition module 10 comprises video acquisition module 11 and the infrared temperature detecting module 12 that connects respectively video processing module 20; Described human body target identification module 50 comprises image comparison module 51, Head recognition module 52 and human-shaped body identification module 53; This device also comprises respectively data disaply moudle 80 and the data communication module 90 of connection data output module 70.Wherein: video acquisition module 11 is used for obtaining the video image that regional space is moved crowd's Real Time Monitoring from the image capture device video camera; Infrared temperature detecting module 12 is used for the heat radiation situation of view data is gathered; Video processing module 20 is used for the guarded region image of colour is converted into the greyscale video image; Reject module 30 and be used for distinguishing human body target and non-human body target, and reject the pseudo-human body target that heat does not meet body temperature by the heat radiation situation in the view data of thermal camera; Memory module 40 is used for the greyscale video image behind the non-human body target of storage rejecting and can represents the Human form models of majority's all ages and classes section; Human body target identification module 50(comprises image comparison module 51, Head recognition module 52 and human-shaped body identification module 53):
51 pairs of two adjacent two field pictures of image comparison module compare identification, have guaranteed the accuracy of Output rusults, have effectively rejected repeater's body target.The application of the method was only suitable for being applied in two frame period times less the time, and for example two frame times are spaced apart in the situation in 1ms, the 10ms, otherwise, the judgement that can make the mistake to Output rusults with the method; This device is the size at two frame time intervals of identification setting automatically, if the time interval is larger, internal algorithm will not adopt this method.
Human-shaped body identification module 53 is used for the human body target whiteness of the easy identification that has come out (is become the black picture element of Head recognition human body target out into white pixel, prevent from repeating to add up human body target) after image, carry out the identification of human figure, finally identify all human body targets of this regional space; The image that data processing module 60 is used for finally handling well carries out the number accumulation algorithm; Data outputting module 70 is used for this range statistics crowd's quantity out, exports; Data disaply moudle 80 is used for showing as a result crowd's statistics of output module; Data communication module 90 is connected in background monitoring system, realizes data upload.
The statistical method of said apparatus may further comprise the steps: A. gathers image information and the infrared temperature information of surveillance area at first simultaneously; From the image capture device video camera, obtain the video area that to monitor selecting in the video image of mobile crowd's Real Time Monitoring, and obtain the data of this zone infrared emanation situation; B. color image information is converted to gray level image information; C. according to infrared temperature information in the guarded region that gathers in the steps A, reject the target that does not meet human body temperature in the guarded region; D. the human body in the guarded region is identified; E. the human body quantity of identifying is carried out statistical computation, and the result is exported.
The collection period of image information described in the steps A and infrared temperature information can be set to the cycle length (for example 10ms, 30s, 1min etc.) take millisecond, second, minute, hour as unit.
The identification of human body among the step D comprises step by step following: D1. when signal acquisition periods be between the 1ms to 10ms the time, front and back two two field pictures in the same area are compared, reject repeater's body target, when per two two field picture interval times are long, can affect on the contrary the precision of this zone crowd statistics, therefore, will walk around this step in this case.
D2. to identifying according to number of people feature in the surveillance area, and will be defined as the mark that carries out of human body; In the new zone of human body target, there are some black picture elements to assemble the shape matching rule, be equivalent to similar round, adopt the Head recognition method just can determine easily human body target; D3. the part that is not labeled is carried out characteristics of human body's identification, the black picture element whiteness of the human body target of having determined, prevent from repeating to add up crowd's quantity, black pixel point in the remaining human body target zone and the human figure image that can represent majority of storage are analyzed, finally determine human body target.
The identification of human body among step D2 and the D3 is that center with the surveillance area is as the center of circle, center on the outside scanning search of this center of circle from coil to coil with the concentric circles form, at step C according to human body temperature, reject the zone that does not have human body target in the zone, obtain a new human body target zone that has dwindled, can greatly dwindle like this hunting zone of human body target, and then saved search time, improved the efficient of crowd's statistics, area image is cut apart, take any point (preferably center) of new region as the center of circle, the area that evenly enlarges circle to circumferential outer edges gradually with concentric circles successively carries out the human body target search; Area image is effectively cut apart, as starting point, be assumed to be the starting point of vector from the center of new region, according to certain radius length, namely the length of vector as Second hand for clock and watch, is carried out circular scan counterclockwise; Evenly enlarge gradually the length of vectorial radius, namely search area enlarges gradually.By above step human body target identification is carried out in the new human body target zone that forms, finally counted this regional space crowd's total number of persons.
The computing method of human body quantity are that fixed human body among the step D is accumulated in the step e, and the output of data described in the step e comprises by display screen and shows statistics, statistics is outputed in other equipment or the background management system by data-out port.
Above content is in conjunction with concrete preferred implementation further detailed description of the utility model, can not assert that implementation of the present utility model is confined to these explanations.For the utility model person of an ordinary skill in the technical field, without departing from the concept of the premise utility, can also make some simple deduction or replace, all should be considered as belonging to protection domain of the present utility model.
Claims (4)
1. device that the regional space crowd is added up is characterized in that: this device comprises the acquisition module (10), the video processing module (20) that connect successively, rejects module (30), memory module (40), human body target identification module (50), data processing module (60) and data outputting module (70).
2. described a kind of device that the regional space crowd is added up according to claim 1, it is characterized in that: described acquisition module (10) comprises video acquisition module (11) and the infrared temperature detecting module (12) that connects respectively video processing module (20).
3. described a kind of device that the regional space crowd is added up according to claim 1, it is characterized in that: described human body target identification module (50) comprises image comparison module (51), Head recognition module (52) and human-shaped body identification module (53).
4. described a kind of device that the regional space crowd is added up according to claim 1, it is characterized in that: this device also comprises respectively data disaply moudle (80) and the data communication module (90) of connection data output module (70).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220264276 CN202887218U (en) | 2012-06-06 | 2012-06-06 | Apparatus for calculating population in area space |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220264276 CN202887218U (en) | 2012-06-06 | 2012-06-06 | Apparatus for calculating population in area space |
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| CN202887218U true CN202887218U (en) | 2013-04-17 |
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| CN 201220264276 Expired - Fee Related CN202887218U (en) | 2012-06-06 | 2012-06-06 | Apparatus for calculating population in area space |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614916A (en) * | 2018-12-06 | 2019-04-12 | 郑州铁路职业技术学院 | Station passenger status real time monitor early warning computer system based on recognition of face |
| CN109643480A (en) * | 2016-07-22 | 2019-04-16 | 路晟（上海）科技有限公司 | Security system and method |
-
2012
- 2012-06-06 CN CN 201220264276 patent/CN202887218U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109643480A (en) * | 2016-07-22 | 2019-04-16 | 路晟（上海）科技有限公司 | Security system and method |
| CN109614916A (en) * | 2018-12-06 | 2019-04-12 | 郑州铁路职业技术学院 | Station passenger status real time monitor early warning computer system based on recognition of face |
| CN109614916B (en) * | 2018-12-06 | 2021-06-22 | 郑州铁路职业技术学院 | Real-time monitoring and early warning computer system for station passenger state based on face recognition |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130417 Termination date: 20180606 |
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| CF01 | Termination of patent right due to non-payment of annual fee |