46results about How to "Suitable for real-time processing" patented technology

The invention discloses a vehicle video identification and speed measuring method. The concrete steps are as follows: (a). obtain a vehicle picture; (b). search the partial threshold value of vehicle license plate on the vehicle picture to obtain the license picture; (c). redress the inclination of the license picture; (d). search the frame of the license plate on the redressed picture and calculate the height of characters; (e). standardize characters on the license plate to obtain a number of partial blocks; (f). carry out the binary system for the partial blocks of each character to obtain two-digit pictures; (g). identify characters on the two-digit pictures to obtain characters on the license plate; (h). track the moving route of the license plate through results of step b and d; (i). calculate the moving distance of the vehicle body; and (j). calculate the running speed. The invention has the advantages of high precision of identifying vehicle licenses and low impact on light reflection of license plate, easy realization, and high practical value.

The invention discloses a tumble detection method for a human body based on a three-axis acceleration sensor, which acquires human body three-dimensional acceleration signals through the three-axis acceleration sensor. The method adopts the three-axis acceleration sensor to acquire the acceleration signals of the human body in three directions, adopts two characteristic quantities of SVM and SMA to detect the tumble of the human body. The method comprises the following particular steps: 1) acquiring acceleration data of the human body; 2) performing data preprocessing; 3) calculating SVM value; 4) performing SVM wavelet analysis; 5) detecting SVM detection, if the SVMs of a plurality of consecutively acquired sample points are larger than or equal to the threshold value th1, confirming the tumble of the human body initially, and entering step 6), otherwise, continuing step 5); 6) calculating SMA value, if the SMA is larger than or equal to the threshold value th2, entering step 7), otherwise, determining as suspicious tumble, returning to step 5); 7) if the SMAs of a plurality of consecutively acquired sample points is larger than or equal to the threshold value th2, confirming the occurrence of tumble finally and alarming, otherwise, determining as suspicious tumble, and returning to step 5).

The invention discloses a time synchronous method of implementing multiple-input and multiple-output orthogonal frequency division multiplexing (OFDM) system, which includes that: a sending end constructs pilot or synchronous symbols in the process of assembling frames. After framing, the antennas launch symbols and simultaneously launch a lead code with a special structure. The lead code is a repeated reference signal, preceding CP. The invention makes use of reference signals and receiving signals to achieve sliding correlation, sets threshold, and records the size and position of amplitudevalue belonging to correlation value exceeding the threshold in the sequence. The sequence removes pseudo-multi path, determines the number and position of true multi path and conforms signal noise ratio by utilizing the identified numbers and location of multi path, and then chooses the largest one as the main path and determines the location of precise synchronization position. In no less than the precision of the existing synchronous method, the method of the invention improves operation speed; the invention has the advantages of small time synchronization error and less operation. In addition, the method need not have two-step of rough and precise synchronization, which can directly get time synchronous error. The invention is very suitable for real-time processing.

The invention belongs to the technical field of radar signal processing, and particularly relates to a target detection method under the condition of a low signal-to-noise ratio based on probability statistics. According to the invention, the single pulse within the observation time is taken as a processing object, an interested observation region is covered by adopting a simultaneous multi-beam method, a target echo envelope is obtained through performing pulse compression on all pulse echoes within the observation region, then echo envelope detection frequencies of different azimuth units and distance units are counted and recorded after performing constant false alarm detection on the echo envelope, and finally a probability histogram is drawn, and detection and judgment are performed according to the threshold-exceeding frequency distribution of the different azimuth units and distance units so as to complete the target detection process. The method provided by the invention is notonly suitable for single-pulse target detection under the low signal-to-noise ratio, but also can serve as an auxiliary detection means for non-ideal target detection after long-time accumulation ofmultiple pulses. The method provided by the invention is small in data processing amount, meets real-time processing requirements of a hardware platform and is suitable for engineering implementation.

The invention provides a multi-target data fusion method and system based on a hydroacoustic sensor network. The multi-target data fusion method comprises the following steps: (101) arranging a plurality of collecting nodes of the hydroacoustic sensor network in an observation area, arranging N collecting nodes in a water area, obtaining the azimuth information of a plurality of target elements, and transmitting the obtained azimuth information of the target elements to a main node, the N collecting nodes adopts line array hydrophones or vector hydrophones as detection parts, and the detection parts can process signals in real time, and the azimuth information of the target elements is observed by each collecting node in the observation area; and (102) fusing the data of the azimuth information of the target elements by the main node: associating data by the main node according to the azimuth information of the target elements and the information data of the targets stored in the main node by adopting the data associating strategy, and tracking and positioning the multiple targets to finish the track initiating, maintaining and deleting of the multiple targets.

The invention discloses a quick recognizing method of a binary image connected domain label, and relates to an image recognizing method used for crack recognizing, remote sensing image path extracting, remote sensing image shape target recognizing and the like. The quick recognizing method of the binary image connected domain label comprises the steps that S1 a CPU and a GPU are initialized; S2 an image is scanned; S3 scanned results are stored in a disk of a server environment; S4 merging processing is conducted on the scanned results; S5 whether the scanning is iteration scanning or not is judged, if yes, the step S6 is executed and otherwise the step S1 is repeated; S6 processing results are stored and the method ends. The quick recognizing method of the binary image connected domain label can improve the overall performance of a system and is applicable to real-time processing of large images, the scanning efficiency is high, and the method is simple and convenient and fast to implement.

The invention discloses a clutter-based MIMO radar transceiver array amplitude and phase error correction method, which mainly solves the problem that the radar detection performance decreases due to the inconsistency of the array element amplitude and phase. The realization process includes: constructing the receiving, transmitting and transmitting and receiving joint steering vectors of the radar and the receiving and transmitting joint steering vectors of the radar receiving sub-array; respectively calculating the projection matrix of the receiving and transmitting joint steering vectors of the radar and the radar receiving sub-array; using the projection matrix and echo data respectively to construct the cost function of transmitting and receiving array error compensation coefficients and find the optimal solution of each cost function; use the transmitting and receiving array amplitude and phase error matrix to correct the transmitting and receiving array steering vectors to realize the radar transmitting and receiving array amplitude and phase error correction. The invention does not need to estimate the number of signal sources and targets, and only needs a single echo sample to effectively estimate the amplitude and phase error of the MIMO radar transceiver array, with small calculation amount and low complexity, and is suitable for real-time processing of MIMO radar transceiver array error correction.