CN104159089B - A kind of abnormal event alarming HD video intelligent processor - Google Patents
A kind of abnormal event alarming HD video intelligent processor Download PDFInfo
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Abstract
The invention provides a kind of abnormal event alarming HD video intelligent processor.In the HD video intelligent processor A/D processing units access HD video digitized processing after outputting video streams arrive intelligent video analysis cells D SP, intelligent video analysis cells D SP output be superimposed analyze data video flow to H.264 video encoding unit be compressed encode and export target detection and feature extraction data to CPU ARM carry out anomalous event manage judgement.Anomalous event modeling is carried out using distributed mixed architecture and based on business rule, the functions such as realization is acquired to 1080P and the above high definition video steaming, encoded, intellectual analysis, alarm, compression, Network Transmitting, the solution of integration is provided for the intellectual analysis processing of high clear video image.
Description
Technical field
The present invention is applied to public safety and fight against terrorism and violence field, and in particular to a kind of abnormal event alarming HD video intelligence
Can processor.The present invention can be acquired to 1080P and the above high definition video steaming, encode, intellectual analysis, alarm, compression, net
The functions such as networkization transmission.
Background technology
With high-speed digital video camera（DSP）The enhancing of performance, video intelligent parser can be gone to by CPU processing
DSP is handled in real time, and intelligent video analysis realizes that platform is gradually developed from software-only video analysis toward embedded direction, embedded to regard
Frequency analysis can be directly handled video information in front end, with high real-time.DSP and image processing algorithm are used at present
Realize that embedded video analysis is main stream approach, representative in is the series DSP platform such as DM642, DM643X.But
It is, as intelligent video analysis application environment becomes increasingly complex, the complexity more and more higher of its algorithm, and DSP processing at present
It is limited in one's ability, the need for can not having met some complicated image Processing Algorithms.And more intelligent Activity recognition and understand more
It is to need substantial amounts of computer resource, carries out a large amount of calculating between processing result image, model, database preservation data, from
And intelligent decision is made to abnormal behaviour.Therefore, DSP disposal ability turns into bottleneck, it is difficult to which development function is strong, performance is high
DSP intelligent video analysis products.
The country occurs in that the company for specializing in intelligent video analysis technology or intelligent video monitoring product, e.g., in good day
Warehouse security protection intelligent monitor system that the ATM intelligent monitor system of prestige, intelligence stablize the country, sentry's management and control system of Beijing Fu Ni Taidas
System, Han Wang intelligent video analysis system etc., all for different fields, have formulated corresponding solution.But due to intelligence
The environmental suitability of analysis product is the bottleneck problem of a limit product engineering application, and most of intelligent video prison at present
The core algorithm technology of control system is still rested in the advanced country such as the U.S. and European Region hand, so-called intelligence on the market
Monitoring device lack of targeted, it is impossible to solve the problems, such as environmental suitability very well, practicality is not strong.
Chinese patent literature publication number CN203482326U discloses entitled《Intelligent video monitoring warning device》Hair
Bright patent application technology, the technical scheme of the application for a patent for invention technology is：Including DSP module, wireless module, video storage mould
Block and imaging sensor.Imaging sensor obtains vision signal；DSP module controls whole device, and video can be carried out
Processing in real time, monitors anomalous event；Video storage modules storage there are the video-frequency band of anomalous event；Wireless module can pass through
Wireless network sends image and warning message to server, can also send alarming short message to user mobile phone.
《Intelligent video monitoring warning device》Patent of invention in use single DSP module（Conventional DM642 moulds
Block）Complete whole device control, video to handle in real time, monitor the multinomial work such as anomalous event, complex scene anomalous event is supervised
Survey for actual computational requirements, DSP disposal abilities are limited, influence its degree of accuracy of alarming.
The content of the invention
The technical problem to be solved in the present invention is that being difficult in adapt to complex scene for existing DSP video analysis product should
With, intelligent video monitoring realize that algorithm is complicated, increasingly huge there is provided a kind of abnormal event alarming HD video intelligence for software architecture
Can processor.
The abnormal event alarming HD video intelligent processor of the present invention includes video a/d processing unit, intelligent video point
Analyse cells D SP, H.264 video encoding unit, CPU ARM and multiple peripheral hardwares and EBI, video a/d processing
Unit is connected with intelligent video analysis cells D SP, intelligent video analysis cells D SP respectively with H.264 video encoding unit, in
Central Processing Unit ARM is connected, and H.264 video encoding unit CPU ARM is connected, and abnormal event alarming high definition is regarded
Frequency intelligent processor data transfer and processing routine step are：
S1：HD video accesses video a/d processing unit by HD-SDI interfaces, realizes digitized processing, output numeral
The video data of change flows to intelligent video analysis cells D SP；
S2：Intelligent video analysis cells D SP realizes the analysis to digital picture, realizes target detection and feature extraction work(
Energy；
S3：H.264 video encoding unit receives the video for being superimposed analyze data of intelligent video analysis cells D SP outputs
Stream, realizes the coding compression of digital video；
S4：CPU ARM realize equipment respectively constitute Partial coordination operation control, the management of all kinds of interfaces of equipment,
Being locally displayed of video, the Network Transmitting of data, in combination with early warning rule, anomalous event model, realize that anomalous event is sentenced
It is fixed.
The abnormal event alarming HD video intelligent processor of the present invention is using distributed mixed architecture mode, based on ARM+
DSP hardware platform, makes full use of DSP and ARM hardware handles characteristic, reduces DSP image processing and analyzings pressure and to DSP's
Performance requirement, it is to avoid the hardware cost thus brought is significantly increased.Basic background modeling, target detection are realized on DSP
Deng general-purpose algorithm, time of different application scenario judges, prediction logic is realized on ARM, so for different application field
Only need the service logic on custom-modification ARM so that DSP epigraph Processing Algorithms have reusability.Carry out being based on business simultaneously
The anomalous event modeling of rule.By analysing in depth the business rule model of the typical application scenarios in field of being dashed forward at anti-terrorism, mould is realized
The Formal Semantic expression of type, abundant priori storehouse is set up for typical monitoring scene, is obtained using Computer Vision
Objective attribute target attribute semantization processing, the matching and judgement of implementation model.Result of determination to event is analyzed, and sums up development
Rule and trend, realize the prediction to event on this basis, are judged to send alarm according to event, greatly reduce rate of false alarm.
Brief description of the drawings
Fig. 1 is the structural representation of the abnormal event alarming HD video intelligent processor of the present invention；
Fig. 2 links schematic diagram for the LINK of the present invention；
Fig. 3 is workflow diagram of the invention.
Embodiment
Below in conjunction with drawings and examples, the present invention is described in detail.
As shown in figure 1, the abnormal event alarming HD video intelligent processor of the present invention, real based on TMS320DM8168
It is existing.TMS320-DM8168 is TI Davinci series digit multi-media processing chips, be integrated with 4 kernels and multiple peripheral hardwares and
EBI.Mainly include video a/d processing unit 11, intelligent video analysis cells D SP12, H.264 video encoding unit 13,
CPU ARM14.Each processing unit is linked by software packaging for LINK.What peripheral high definition video collecting equipment 15 was gathered
HD video accesses video a/d processing unit 11 by HD-SDI interfaces.
Peripheral hardware and EBI include：2 tunnel HDMI video input interfaces, or 4 road 8BIT HD-SDI video inputs are supported,
The SD video input of up to 16 passages can be received；11 or 2 passage PCIe interfaces；2 gigabit ethernet interfaces；2
SATA interface and 1 SD interface；1 HDMI output, 1 digital video frequency output, 1 analog video output；1 GPMC interface,
NAND FLASH can be connected；3 UART, 1 SPI, 3 McASP；2 USB interfaces.
Video a/d processing unit 11 is filtered using the VPSS M3 of TI companies for the capture of video, display, scaling, conversion
Ripple etc..It will access and realize digitized processing, output digital video data flows to intelligent video analysis cells D SP12.
Intelligent video analysis cells D SP12 uses the C674xDSP of TI companies, and dominant frequency is up to 1GHz, and disposal ability is reachable
8000/6000MIPS/MFLOPS.Digital image analysis, target detection and feature functionality are carried out to digitlization video flowing to extract, will
The video stream of analyze data is superimposed to H.264 video encoding unit 13, by the supplemental characteristic and target and feature of extraction
Data are transferred to CPU ARM14 and receive the intelligent early-warning Rule Information of its transmission.
H.264 video encoding unit 13 is carried out the coding compression of digital video, can be used for using the VIDEO M3 of TI companies
The encoding and decoding of the forms such as MPEG, H264, VC-1, AVS.
CPU ARM14 uses the Cortex A8 ARM of TI companies, and dominant frequency can be received and come from up to 1.2GHz
H.264 the Video coding stream of video encoding unit 13, intelligent early-warning rule and anomalous event model ginseng are received from outside IP network
Number simultaneously to its transmit coding, data, alarm stream, realize equipment respectively constitute Partial coordination run control, all kinds of interface managements of equipment,
The function such as video is locally displayed, data network transmission, early warning rule, anomalous event model management and anomalous event judge.
CPU ARM14 is run under Linux system, and video a/d processing unit 11, intelligent video analysis list
First DSP12, H.264 video encoding unit 13 are run under TI BIOS system, and each core shares DDR internal memories, can lead to each other
Cross semaphore and mailbox, memory sharing mechanism synchronize control and data transfer.
As shown in Fig. 2 the LINK link schematic diagrames of the present invention.DVRRDK exploitation of the application and development of the present invention based on TI companies
Kit, is at present 3.0.0.0 using version.In DVRRDK, each software processing elements are packaged as LINK, and assign corresponding
Input and output control parameter.When foundation is applied, LINK and its control parameter needed for determining as needed, in order forward-backward correlation
Get up, with regard to requirement can be reached.
Video acquisition 111, Video processing frame output 112, bit stream output 113 are for video a/d processing unit 11 in Fig. 2
The LINK of foundation；DSP frames input 121, DSP processing 122 are the LINK set up for intelligent video analysis cells D SP12；Video
Bit stream input 131, Video coding 132, video bit stream output 133 are the LINK set up for H.264 video encoding unit 13；
ARM inputs 141 are the LINK set up for CPU ARM14.Inputted using from video port, frame of video delivers to intelligence
Video analysis unit DSP12 is analyzed and processed, and processing frame is compressed to deliver to CPU ARM14 again, and center processing is single
First ARM14 can send out video flowing and analyze data through network.Video acquisition 111 realizes video acquisition in figure, runs on and regards
Frequency A/D processing units 11, DSP processing 122 carries out video analysis processing, runs on intelligent video analysis cells D SP12, and video is compiled
Code 132 realizes the H264 compressed encodings of video, runs on H.264 video encoding unit 13, and other LINK is used between each unit
Data transfer.
Workflow of the present invention is as shown in figure 3, step 21 is initial actuating, at the beginning of realizing early warning rule and anomalous event parameter
Beginningization is set.Step 22 carries out high definition video collecting by high-definition video equipment, and intelligent video is inputted after Video coding
Analytic unit DSP12 carries out step 23DSP image processing and analyzings, and is calculated using target detection, type identification, target following etc.
Method, carries out the judgement that step 24 is made whether the characteristic for needed for gathered data, if the judgement is affirmative, carries out
Step 25 is automatically extracted to target signature data, and emphasis realizes the extraction of moving target using inter-frame difference, and passes through edge
Extraction, pixels statisticses, motion Block- matching etc. realize the feature extractions such as density, position, the trend of crowd, and by video image
The Density Distribution of upper superposition sign display crowd directly perceived.If it is fixed that this judges whether, continue input step 23 and proceed
Data analysis.
Step 26 is the characteristic input CPU ARM14 extracted, is had in this element based on business
The Bayesian network model that rule is set up, this method for establishing model is manually analyzed by live video, judged for analysis, early warning is different
The business rule of ordinary affair part, clearly requires the specific event of intelligent decision.For specific event, build event and judge Bayesian network
Network topological structure.The analysis for collecting specific event judges information, obtains the parameter of network after processing, i.e., each node it is corresponding general
Rate, completes the structure of network.
Step 27 anomalous event template matches calculate to propagate information in a network by Bayesian Network Inference function
The posterior probability of each node in network, anomalous event Threat determination step is as follows：
S1：Anomalous event is set to analyze and early warning Bayesian network characteristic layer, intermediate layer and event layers, characteristic layer element,...,It is complete data collection,Representative feature layer each characteristic element, intermediate layer element be designated as,
...,,Each characteristic element of intermediate layer is represented, event layers element is designated as C, wherein being designated as in a certain state, then it is a certainCalculating anomalous event probability P formula be：
=
Formula is obtained by above formula expansion：
=
S2：Anomalous event analysis and the relational matrix of early warning Bayesian network are established, n possible shapes of elements A are recorded
State,Each characteristic element of representative feature layerCorresponding each particular state, m of element B
Possible state,Represent each characteristic element of intermediate layerCorresponding each particular state,
Then elements A and B relational matrix are designated as, size is n*m；ElementCorrespondence event layers C, the relational matrix in itself and intermediate layer is remembered
For；
S3：Intermediate layer variable is calculated according to the dependence in characteristic layer and intermediate layerValue, dependence matrix is,Represent to work as and characteristic layer informationRelated intermediate layer event setsSome is taken specifically to take
Value combinationWhen characteristic layerValue isProbability；
S4：Intermediate layer variable is calculated according to the dependence of intermediate layer and event layersValue, dependence matrix is,
Wherein) represent that event layers event C values areWhen, intermediate layerValue isProbability；
S5：Step S3, S4 is repeated, until all anomalous event probable value P event layers（C=）Calculate
Come；
S6：Anomalous event layer probability according to calculating is worth to the threat size of crowd massing block.
Step 28 is anomalous event type decision, and type is made to event by posterior probability judges.
Step 29 is whether judgement event is abnormal, if being judged as exception, performs step 31 and exports corresponding event and pre-
Alert information, if being judged as without exception, progress step 30 this group of data of discarding, receives characteristic information and is judged again.
Step 32 correctly then performs step 33 on-line optimization prior data bank to judge whether correct alarm.Priori data
The optimization of model includes parameter optimization and argument structure optimizes, and optimal way includes on-line optimization and offline optimization.In event
In the case of correct judgement, on-line optimization can be carried out to the parameter of each node according to the posterior probability of each node；Judge not just
True then execution step 34, summarizes factor of judgment, the structure to network is adjusted.
Step 35 is power cut-off.
Claims (1)
1. a kind of abnormal event alarming HD video intelligent processor, it is characterised in that：Described abnormal event alarming high definition is regarded
Frequency intelligent processor includes video a/d processing unit（11）, intelligent video analysis cells D SP（12）, H.264 video encoding unit
（13）, CPU ARM（14）And multiple peripheral hardwares and EBI；Video a/d processing unit（11）With intelligent video
Analytic unit DSP（12）It is connected, intelligent video analysis cells D SP（12）Respectively with H.264 video encoding unit（13）, center
Processing unit ARM（14）It is connected, H.264 video encoding unit（13）CPU ARM（14）It is connected；Described is different
Data transfer and processing routine step in normal affair alarm HD video intelligent processor are：
S1：Peripheral HD video accesses video a/d processing unit by HD-SDI interfaces（11）, digitized processing is realized, is exported
Digitized video data flows to intelligent video analysis cells D SP（12）；
S2：Intelligent video analysis cells D SP（12）The analysis to digital picture is realized, target detection and feature extraction work(is realized
Energy；
S3：H.264 video encoding unit（13）Receive intelligent video analysis cells D SP（12）Output has been superimposed analyze data
Video flowing, realizes the coding compression of digital video；
S4：CPU ARM（14）Realize equipment respectively constitute Partial coordination operation control, the management of all kinds of interfaces of equipment,
Being locally displayed of video, the Network Transmitting of data, in combination with early warning rule, anomalous event model, realize anomalous event prestige
Stress judges；
Wherein, anomalous event Threat determination step is as follows：
S1：Anomalous event is set to analyze and early warning Bayesian network characteristic layer, intermediate layer and event layers, characteristic layer element,
...,It is complete data collection,Representative feature layer each characteristic element, intermediate layer element be designated as,...,,Each characteristic element of intermediate layer is represented, event layers element is designated as C, wherein being designated as in a certain state, then
It is a certainCalculating anomalous event probability P formula be：
=
Formula is obtained by above formula expansion：
=
S2：Establish anomalous event analysis and the relational matrix of early warning Bayesian network, record n of elements A possible states,Each characteristic element of representative feature layerCorresponding each particular state, m of element B can
Can state,Represent each characteristic element of intermediate layerCorresponding each particular state, then
Elements A and B relational matrix are designated as, size is n*m；ElementCorrespondence event layers C, the relational matrix in itself and intermediate layer is designated as；
Representative element initial state value,K layers of intermediate computations state value of representative element,Represent that event layers i takes some special
Calculating probable value during value indicative q,Represent calculating probable value representative element original state when intermediate layer i takes some characteristic value q
Value,K layers of intermediate computations state value of representative element,Calculating probable value when event layers i takes some characteristic value q is represented,
Represent calculating probable value when intermediate layer i takes some characteristic value q；
S3：Intermediate layer variable is calculated according to the dependence in characteristic layer and intermediate layerValue, dependence matrix is,Represent to work as and characteristic layer informationRelated intermediate layer event setsTake some specific
Valued combinationsWhen characteristic layerValue isProbability；
S4：Intermediate layer variable is calculated according to the dependence of intermediate layer and event layersValue, dependence matrix is, wherein) represent that event layers event C values areWhen, intermediate layerValue isProbability；
S5：Step S3, S4 is repeated, until all anomalous event probable value P event layers（C=）Calculate；
S6：Anomalous event layer probability according to calculating is worth to the threat size of crowd massing block.
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| CN106210615A (en) * | 2015-04-30 | 2016-12-07 | 北京文安智能技术股份有限公司 | A kind of city management automatic monitoring method, Apparatus and system |
| CN105657215A (en) * | 2015-12-29 | 2016-06-08 | 中山大学 | Abnormal event detection method based on characteristics of compressed domain |
| CN108595689A (en) * | 2018-05-08 | 2018-09-28 | 浙江宇视科技有限公司 | A kind of network storage equipment of real time environment monitoring |
| CN111404770B (en) * | 2020-02-29 | 2022-11-11 | 华为技术有限公司 | Network device, data processing method, device and system and readable storage medium |
| CN112052833B (en) * | 2020-09-27 | 2023-04-07 | 苏州科达科技股份有限公司 | Object density monitoring system, method, video analysis server and storage medium |
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