206results about How to "Improve statistical accuracy" patented technology

This invention relates to one single cross mixture traffic signal control method by use of computer program, which comprises the following steps: summing up the automobile car number relative to standard car number by use of the computer program of the formula method and for the number of bicycle number; summing up each channel traffic flow standard car number per hour by use of data process program; signal machine judges and selects whether for single point time control type or signal sense control type or single optimization type for each type signal optimization scheme.

Fluorescence, spectroscopy is used to analyze small numbers of molecules that are present in a relatively small detection volume or zone. Information regarding physical and chemical properties of these molecules is determined by rapidly modulating the wavelength, intensity and/or polarization of laser energy to excite fluorophores that are attached either to the molecule of interest or a molecule that interacts with the molecule of interest. The emission profile of the fluorophores is used to determine useful information about the labeled and/or non-labeled molecules including molecular interactions between th molecules.

The invention discloses a public transport vehicle passenger flow statistical method and system. Concretely, two cameras are respectively installed at the front and rear doors of a bus. The release lines of the front and rear doors of the bus and a fitting function of the camera height and the head size are determined before processing images acquired by the cameras. After a door opening signal is received, preprocessing, head detection, head tracking and head movement track analysis are performed on the images acquired by the cameras in turn, and finally passenger behaviors are analyzed according to head movement tracks, the number of bidirectional passenger flow of the corresponding doors is acquired and the number of bidirectional passenger flow of the whole bus is acquired through statistics of the number of bidirectional passenger flow of the front and rear doors of the bus. After a door closing signal is received, processing of the images acquired by the cameras is stopped, and the problem of influence on the statistical result caused by abrupt change of illumination generated by movement of the bus can be reduced. The method has advantages of high statistical accuracy so that reliable supporting can be provided for intelligent scheduling of the bus.

A controller of a cell phone serving as the position detector reads time-sequentially anteroposterior positional information P_i−1, P_i+1, together with interest positional information P_i that is an object of determination (S103), and calculates, for example, vectors V₁ and V₂ showing a shift from P_i−1, to P_i and a shift from P_i to P_i+1, respectively (S104, S105), in order to calculate an amplitude of fluctuation representing a direction of change. The amplitude of fluctuation representing a direction of change is expressed by a value of dot product of the calculated vectors V₁ and V₂ (S106). When the value of dot product is lower than a predetermined value (S107: YES), a position is shown to greatly deviate in the vicinity of the interest positional information P_i. Therefore, the amplitude of fluctuation representing a direction of change is judged to be large, and the positional information is determined to be error (S108).

An image processing apparatus includes the following elements. An image data obtaining unit obtains image data. A sampling unit samples the image data. A statistic value determining unit determines a statistic value based on statistic information in a histogram with respect to a grayscale value of image data that is obtained by performing rough quantization and linear interpolation on the sampled image data. A correction-amount determining unit determines a correction amount to be used for image processing based on the statistic value. An image processing unit performs the image processing according to the correction amount.

The invention provides a cinema information acquisition system. The cinema information acquisition system comprises a passenger flow acquisition module used for acquiring cinema audience passenger flow information, an audio acquisition module used for acquiring audio information in a video hall of a cinema, a facial expression acquisition module used for acquiring facial expression information of audience in the video hall of the cinema, a comment acquisition module used for acquiring comment information on a film from the audience in the cinema and an analytical and statistical module which is connected with the passenger flow acquisition module, the audio acquisition module, the facial expression acquisition module and the comment acquisition module and is used for identifying the acquired passenger flow information, audio information, facial expression information and comment information. The cinema information acquisition system is high in statistical efficiency, the passenger flow counting accuracy is greatly improved, and real feeling of the audience can be analyzed more accurately.

The invention discloses a pedestrian flow counting-based intelligent detection method for an indoor dynamic cold load. The number of residual pedestrians is obtained by counting the flow of pedestrians who enter or exit from a room; and finally, a dynamic cold load is calculated by combining the current time, the indoor temperature, a clustering coefficient of places, the labor intensity of pedestrians and the total time of the pedestrians detained in the room. The pedestrian flow is counted by video mounting of inlet and outlet areas of the room. The pedestrian flow counting-based intelligent detection method comprises the following steps of: firstly, detecting an area of an object by adopting a moving object detection algorithm; secondly, tracking a motion curve of the object by adopting a tracking algorithm; and finally, analyzing the behavior of the object according to the motion curve and the layout of the room. According to the pedestrian flow counting-based intelligent detection method disclosed by the invention, the pedestrian flow can be counted more accurately, accurate and reliable real-time cold load data are provided for the operation of an indoor air conditioner and the optimized energy-saving control is realized.

Systems, methods and media are provided for golf ball spin axis measurement. In one example, a method comprises detecting a launched golf ball, receiving reflected Doppler signals from the golf ball by a radar device having an array of multiple receiver pairs, demodulating the spin-induced signals from the received signals, determining a time delay between the demodulated signals for the receiver pairs in the array, calculating an average time delay for the multiple receiver pairs, calculating a spin axis of the golf ball from the time delay values, outputting a spin axis value to an external system, and storing the spin axis value in a database.

The present invention discloses a performance management system, apparatus and method between a Residential Gateway (RG) and a Broadband Remote Access Server (BRAS), the method thereof includes: configuring an OAM IWF for the protocol conversion between the performance management message of the Asynchronous Transfer Mode (ATM) Operation, Administration and Maintenance (OAM) protocol or the point-to-point Ethernet OAM protocol and the performance management message of the service layer Ethernet OAM protocol in a Digital Subscriber Line Access Multiplexer (DSLAM), when the performance management is performed in a broadband IP network, after the OAM IWF configured in the DSLAM performing the protocol conversion of performance management message, performing the end-to-end performance management between an RG and a BRAS according to the performance management message with the converted protocol. This invention can not only enhance the accuracy of the statistics of the traffic flow, but also enhance the accuracy of the SLA test.

The invention relates to a segmental counting-based relative radiation correction method comprising the following steps: acquiring original image data; determining segmental points and dividing the image into three brightness areas, including a low-brightness area, a medium-brightness area and a high-brightness area; performing histogram matching on the low-brightness area, the medium-brightness area and the high-brightness area respectively to obtain a corresponding brightness area lookup table of each probe element; and combining to obtain an integrated lookup table of each probe element and performing relative radiation correction on a satellite image. Aiming at the condition that integrating spheres in a lab are invalid, the method provides a method for effectively removing stripe noise of an image system and chromatic aberration of the system, so the lookup tables of different brightness areas are obtained through segmental counting according to the characteristic that the probe elements have different response models in different photoelectric response areas, error propagation in the counting process is reduced, the precision of the lookup tables is improved, the imaging quality of the image can be improved well, the algorithm has high efficiency, and the quasi-real time requirement of image production can be guaranteed timely.

The invention provides a video analysis based pedestrian volume counting method. The videos comprise at least one group of pedestrian monitoring sample videos and one group of pedestrian monitoring detection videos shot by a camera from a top region. The pedestrian volume counting method comprises the steps of S10, acquiring human head images in each pedestrian monitoring sample video and each pedestrian monitoring detection video, and forming a positive sample training image set and a negative sample training image set; S20, respectively extracting an HOG (Histogram of Oriented Gradient); S30, performing offline training of an SVM (Support Vector Machine) head classifier on HOG features of training input images; S40, performing real-time head detection; S50, carrying out target tracking by adopting an optical flow method; S60, setting an ROI (Region of Interest); and S70, counting the number of pedestrians. According to the method provided by the invention, the pedestrian volume in a specific region can be counted, pictures at different moments can be checked at a mobile phone terminal, and a problem of mutual shielding of detected targets can be avoided compared with a method of human body detection; and the method is established on the basis of widely applied video monitoring equipment, low in cost and high in counting accuracy.

The invention provides a method and a device for calculating a passenger vehicle passenger flow congestion degree. The method comprises steps that images respectively acquired by at least two cameras in a passenger vehicle are acquired, the acquired images are spliced to form a panorama image in the passenger vehicle, body identification and counting are carried out on the basis of the panorama image, and the counting result is used for carrying out passenger vehicle passenger flow analysis. The method is advantaged in that the images acquired by the multiple cameras are spliced according to an image coordinate transformation matrix, the panorama image in the vehicle is determined, body detection of the panorama image in the vehicle is carried out to determined the quantity of passengers in the vehicle, the passenger vehicle passenger flow congestion degree is analyzed according to the passenger quantity detected from the panorama image but not according to statistics on the basis of accumulation difference of passengers getting on and off of vehicle gates, an accumulation error is avoided, and statistics precision is improved.

A first γ-ray generating in a body, caused by a PET pharmaceutical, and a second γ-ray emitted from a γ-ray source and transmitting through the body are detected with a radiation detector. The emission image information (E image information), E₁, E₁ and E₂, at each of patient motion phases, 0, 1 and 2, which divided a respiration period, are prepared by using each information obtained from the detected first γ-ray. The transmission image information (T image information), T₀, T₁ and T₂, at each of patient motion phases, 0, 1 and 2, respectively, are prepared, by using each information obtained from the detected second γ-ray. Relative displacements, ([F₁₀], [F₂₀]), are determined by superimposing, on T image information T₀, other T image information, T₁ and T₂. The E image information, E₁, E₂, are superimposed on the E image information E₀, by using this relative displacement.

The invention discloses terminal equipment and a network flow calculation method and system based on the terminal equipment. The method comprises that a network data packet through a network driving interface standard intermediate layer is grabbed; protocol analysis is carried out on the grabbed network data packet is according to a preset protocol set, and protocols used by the grabbed network data packet are obtained; the header of the grabbed network data packet is parsed by utilizing the obtained protocols, and flow of the grabbed network data packet is obtained; and the sum of flows of all grabbed network data packets is calculated to obtain the network flow of the terminal equipment. Thus, the calculation error of the network flow can be reduced, and the calculation precision of the same is improved.

The present invention relates to a method and apparatus for simultaneous quantification of the amounts of one or more radioactive nuclides within arbitrary regions on a surface where these nuclides have been deposited, adsorbed or fixed. These radioactive nuclides serve as markers on compounds that typically have been incorporated into tissue sections or into larger biological molecules that by various mechanisms have been bound to chemical substances on this surface. The method is especially well suited for DNA microarray deductions through the use of nucleotides labelled with different beta-emitting radionuclides.

The invention belongs to the image processing technical field and discloses a bus passenger flow statistical method, a bus passenger flow statistical device and an electronic apparatus. The bus passenger flow statistical method includes the followings steps that: an image frame to be detected is acquired; the image frame to be detected is decoded and preprocessed, so that preprocessed image information can be obtained; video image analysis is performed on the preprocessed image information to obtain the image analysis result of the image frame to be detected, wherein the image analysis resultof the image frame to be detected contains the number of target passengers, the positions of the target passengers, the sizes of the target passengers, and the confidences of the target passengers; and target tracking analysis is carried out according to the image analysis result of the image frame to be detected, and a passenger flow statistical result is obtained, wherein the passenger flow statistical result contains the number of people getting on a bus and the number of people getting off the bus in the image frame to be detected. With the bus passenger flow statistical method, the bus passenger flow statistical device and the electronic apparatus provided by the technical schemes of the invention adopted, the statistical accuracy of bus passenger flow is, and the number of the passengers getting on the bus the number of the passengers getting off the bus can be separately counted.

The invention discloses a deep learning and background difference method fused Safe City traffic flow counting method, and aims at overcoming defects of infrared, ground induction coil and supersonicwave detection methods. A background difference method is used to obtain an object in an image, and the object is trained and classified via deep learning. CNN and GAN networks are used to classify the objects to be identified, a determining axis and an identification area are set dynamically according to a classification result, and vehicles are identified and counted. A higher counting precisionis realized in different environments, the method is adapted to model training under the condition that training samples are not rich, data features can be extracted more accurately, and the model classification accuracy is improved.

The invention relates to the image processing technology field and discloses a subway compartment passenger flow statistics method based on video analysis, an apparatus and a system thereof. The subway compartment passenger flow statistics method based on video analysis comprises the following steps of presetting an image acquisition area block and a corresponding detection model; acquiring an image frame group to be detected, wherein the image frame group to be detected includes at least one frame of image; and according to the image acquisition area block and the corresponding detection model, carrying out detection and tracking on the frame image in the image frame group to be detected and acquiring a target track set. In the invention, through carrying out area division on the image frame in the image frame group to be detected, the detection model of a corresponding area is used to carry out target detection and tracking so that a target detection speed is fast and passenger flow statistics precision is high.

The embodiment of the invention discloses a distributed storage system capacity information monitoring method, device and equipment and a computer readable storage medium. The method comprises the steps that whether pre-authorized quotas corresponding to a subdirectory are sufficient or not is judged according to capacity values of current to-be-stored data; if not, whether the number of threads executing write data exceeds one or not is judged; if yes, multiple write data threads are packaged to be an atomic operation by means of thread locks, so that the first target thread sends a request for applying for target authorized quotas to a metadata server; actual authorized quotas returned by the metadata server are received, and the pre-authorized quotas of the subdirectory are updated; to-be-stored data is written into the subdirectory, and a difference value of a current pre-authorized quota value of the subdirectory and a newly added data capacity value is calculated; a first final pre-authorized quota of the subdirectory is updated according to the difference value, and the first final authorized quota is sent to the metadata server. According to the technical scheme, the statistical accuracy of distributed storage system capacity information is improved.

The invention relates to a communication technology, and provides a data summarizing method and a data summarizing device so as to solve the problem that in a current network, statistical data in a current period cannot be correctly acquired when a counter overflows. The data summarizing method comprises the following steps: counting the acquired raw data by using the counter, recording the statistical data in the counter, and recording the overflowing times when the counter overflows; after reaching the ending time point of a statistic period, determining the statistical data and the overflowing times of the statistic period; according to the statistical data and the overflowing times of the statistic period, calculating a total value of the data. Through the data summarizing method and the data summarizing device, the total value of the data can be accurately recorded, therefore, inaccuracy of the total value of the data due to overflowing of the counter is avoided, calculation error of a subsequent business index is prevented and accurate measurement on a system business is ensured.

The invention provides a rope skipping data processing method and device, and a wearable device. The rope skipping data processing method comprises the steps that rope skipping data are collected; characteristic information of the skipping rope data is extracted and recorded, corresponds to rope skipping cycles, and is obtained based on wave crest information and wave trough information of the rope skipping data; whether the continuous rope skipping action occurs or not is judged based on characteristic information of the two adjacent cycles and preset benchmark standard information, if the continuous rope skipping action occurs, rope skipping parameters start being counted; the rope skipping parameters include the number of times of rope skipping; and the rope skipping parameters are counted through the recorded characteristic information, whether a new rope skipping action occurs or not is detected, and if the new rope skipping action is detected, the counted rope skipping parametersare updated. Therefore, the counting accuracy of the rope skipping parameters can be improved.

If a threshold discrimination is performed with variable Z=0 using discriminant analysis, that is useless unless know-how is accumulated through visual judgment and actual operation. A discriminant function is computed using a plurality of parameters which make pass/fail judgment factors and the results of that pass/fail judgment. With respect to the discriminant function, a histogram is generated for pass category and for fail category. Then, a threshold is determined based on the standard deviation in the individual categories so that an intended rate of flowout and rate of overcontrol will be obtained. The acceptability of pass/fail judgment objects is judged based on the threshold. Thus, the rate of flowout and the rate of overcontrol can be controlled as intended. Further, high-performance pass/fail judgment can be implemented without accumulating know-how.

The invention discloses a dynamic self-adaptive public transport passenger flow statistic device based on video recognition. The device is characterized by comprising a binocular camera and a CPU (Central Processing Unit), wherein the binocular camera is arranged above a vehicle door in a perpendicular downward manner and used for carrying out image acquisition on passengers entering the vehicle door; the CPU is in signal connection with the binocular camera and is used for identifying features, acquired by the binocular camera, on an image and obtaining passenger flow statistic results respectively in a passenger flow peak period and a passenger flow sparse period by adopting two algorithms, wherein the feature points comprises double shoulders and the head. The dynamic self-adaptive public transport passenger flow statistic device has the beneficial effects that the transparent capacity peak period is comprehensively considered by combing image recognition algorithms, different image recognition algorithms are applied against different periods, different weighted values are given against different algorithms to accordingly judge the current passenger flow, and therefore the statistic accuracy rates in the passage flow peak period and the sparse period are greatly increased.