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41results about How to "Troubleshoot missing technical issues" patented technology

Face tracking method based on classification and identification

The invention provides a face tracking method with classification and identification functions, which comprises the following steps: 1. a sequence to be matched of a current frame is F1, F2; a sequence to be matched of a front frame is F1,F2to Fj; 2. Fm of the current frame is taken out in sequence, and an LBP code pattern is calculated; 3. the obtained LBP code pattern is compared with an LBP code pattern of the front frame so that Fn which has the maximal matching degree with the Fm is found out; 4. whether a person is the same person or not is judged according to the matching degree and the central position distance relation; if so, face images of the same of the person are classified into the same type, if not, Fj+1 equal to Fm is added in the FL sequence; 5. the step 2 to the step 4 are repeated until the matching sequence of the current frame is traversed; and 6. the step 1 is back, and the next frame is processed. The invention adopts LBP characteristics with a rotary uniform mode to classify and identify the identity of a person, classifies the same person into one kind, solves the problem that information is lost after the person is sheltered in the traditional face tracking method, expands the function of a face tracking system and improves the application value thereof.
Owner:GUANGZHOU NEWTEMPO TECH

A hyperspectral classification method based on attention constraint non-negative matrix factorization

The invention relates to a hyperspectral classification method based on attention constraint non-negative matrix factorization. The method comprises the following steps: S1, inputting original hyperspectral image data; S2, normalizing the hyperspectral image matrix by using the highlight to obtain a to-be-processed data set X; S3, decomposing X by adopting NMF to obtain an end member matrix U anda bottom abundance matrix H; S4, normalizing the end member matrix U and the bottom abundance matrix H; S5, initializing the attention parameterization matrix W according to the bottom abundance matrix H; S6, normalizing the attention parameterization matrix W; S7, the hyperspectral image, the end element matrix and the bottom abundance matrix are subjected to attention parameterization matrix, and an attention non-negative matrix is adopted to be decomposed, updated and iterated to be converged to obtain an end element matrix and a corresponding abundance matrix; According to the invention, the end member position information in the abundance matrix obtained when the non-negative matrix decomposition technology decomposes the hyperspectral image is not easy to lose, so that the classification precision of the hyperspectral image is improved.
Owner:广州乐润信息科技有限公司

Video cloud storage system-based storage mode upgrading method, device and system

The present invention discloses a video cloud storage system-based storage mode upgrading method, a video cloud storage system-based storage mode upgrading device and a system. The upgrading method includes the following steps that: when an upgrading instruction for upgrading a video cloud storage system is received, the index data of a first management node is backed up, so that backup data are obtained; the configuration file of one or more newly-added third management nodes in the video cloud storage system is configured according to cluster feature information, the backup data are importedto the third management node; the configuration files of the first management node and a second management node are configured through using the cluster feature information; and information synchronization is performed on the configuration file of the first management node, the configuration file of the second management node and the configuration file of the third management node. With the videocloud storage system-based storage mode upgrading method and the video cloud storage system-based storage mode upgrading device of the invention adopted, the technical problem of video storage data loss caused by a condition that storage work is required to be interrupted in the upgrading of the operating mode of the video cloud storage system can be solved.
Owner:HANGZHOU HIKVISION DIGITAL TECH

Face Tracking Method Based on Classification Recognition

The present invention provides a face tracking method with classification recognition function, including step (1) the sequence to be matched in the current frame is {F1C, F2C...FjC}; the sequence in the previous frame is {F1L, F2L.. ....FjL}; (2) Take out the FmC of the current frame in turn to calculate its LBP coded map; (3) After getting the LBP coded map, compare it with the LBP coded map of the previous frame to find out the FnL with the highest matching degree with FmC (4) judge whether it is the same person according to the degree of matching, center position distance relationship; if the face images of the same person are classified into the same class, if not add Fj+1L=FmC in the FL sequence; (5) repeat (two )-(4), until the sequence to be matched in the current frame is traversed; (6) get back to the (1) step to process the next frame. The invention adopts the LBP feature of the rotating unified mode to classify and judge the identity of the person, so that the faces of the same person are classified into one category, which solves the problem of information loss after the person is blocked in the traditional face tracking method, and expands the human face tracking method. The features of the face tracking system enhance its application value.
Owner:GUANGZHOU NEWTEMPO TECH

Method and device for searching bar code boundary by envelope line based on first-order difference

The invention discloses a method for searching a bar code boundary by an envelope line based on first-order difference. The method comprises the following steps: calculating acquired original bar codedata according to a first-order difference formula to obtain an edge intensity gradient image; drawing an upper envelope line and a lower envelope line of the edge intensity gradient image accordingto an envelope line function formula; identifying the maximum value of each section of rising region in the upper envelope line, and storing the x-axis position record of the maximum value in the first array to obtain a first boundary; identifying the minimum value of each section of descending area in the lower envelope line, and storing the x-axis position record of the minimum value in a secondarray to obtain a second boundary. The first-order difference mode is carried out on original data and then the envelope line is utilized to search the boundary so that the technical problem that part of boundary information is lost due to the fact that the upper envelope line and the lower envelope line of original data are used for searching the boundary in barcode boundary searching in the prior art is solved, the image boundary is determined through the extreme value and barcode boundary searching accuracy is improved.
Owner:SUNLUX IOT TECH GUANGDONG
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