912results about How to "Narrow search" patented technology

A computer system for publishing content includes a categorization member, a rating module, a user profiling assembly and a suggested-reading engine. The categorization member enables an author-user and reader-users of an authored work to categorize content of the authored work using a fixed taxonomy, keywords, tags and/or keyword combinations. The rating module enables reader-users to rate authored works and makes a determination of quality of each authored work in the system. Rating includes reader-user response activity such as number of times the reader recommends, forwards or otherwise effectively promotes the authored work. The user profiling assembly measures words and word combinations used (written or read) by a user and generates therefrom a profile of the user. The suggested-reading engine is responsive to the rating module and provides a ranked list of suggested reading (authored works) for a user. The suggested reading is based on the user's ratings of authored works, respective relevance of authored works to the user and editorial promotion of certain articles/authored works.

The invention discloses a trajectory tracking control method used for an automatic driving robot of a vehicle, which relates to electronic control technologies of vehicles. The desired trajectory of a vehicle is described in a data point mode to obtain the current position information of the vehicle; humanoid driving is carried out according to the current driving direction at the current vehicle position to preview a distance ahead; the position obtained by previewing is compared with the desired trajectory to determine the lateral position deviation, the angle deviation and the vehicle speed deviation of the coordinate position obtained by previewing relative to the desired trajectory; then, the vehicle direction is jointly controlled by a trajectory tracking and speed controller according to position deviation and direction deviation; and according to vehicle speed deviation, the control quantities of an accelerator pedal and a brake pedal are determined with a fuzzy control method. The trajectory tracking control method is suitable for controlling the trajectory tracking of any trajectory, various vehicle types and various working conditions, and an automatic driving robot performs the control. The trajectory tracking control method has high precision and good repeatability and has an important meaning for guaranteeing the quality of vehicle reliability experiments and improving experiment safety.

Methods and apparatus are described for matching a set input fingerprint blocks, each fingerprint block representing at least a part of an information signal, with fingerprints stored in a database that identify respective information signals. The method includes selecting a first fingerprint block of the set of input fingerprint blocks (10), and finding at least one fingerprint block in the database that matches the selected fingerprint block (20, 40). A further fingerprint block is then selected from the set of input blocks (60), at a predetermined position from the first selected fingerprint block. A corresponding fingerprint block is then located in the database at the same predetermined position relative to the found fingerprint block (70), and it is determined if the located fingerprint block matches the selected further fingerprint block (80).

The embodiment of the invention discloses an automatic question-answering system. According to the automatic question-answering system, a user interaction unit receives a question input by a user, a question analysis unit extracts keywords from the question input by the user and expands the keywords, then an information retrieval unit searches a frequently asked question bank for answers to the question according to the expanded keywords and returns the answers to related documents, and finally, according to answer extraction rules corresponding to the question type, an answer extraction unit extracts an answer according with the rules from the related documents returned by the information retrieval unit, and sends the extracted answer to the user interaction unit to be fed back to the user. Compared with an automatic question-answering system in the prior art, the automatic question-answering system can automatically expand the keywords and divide the types of the input questions, different types of questions correspond to different types, further answer search is carried out in the types, and the accuracy and diversity of answers are improved.

A large information space is divided into many smaller information extents. These extents are annotated with statistics about the information they contain. When a search for information includes a restriction based on value, the desired value ranges can be compared to the value ranges of each extent. If the desired value range lies outside the range of the extent, then the extent cannot hold the desired value and does not need to be included in the search.

The invention discloses a method for improving a BP (back propagation) neutral network and based on a genetic algorithm. The method includes coding the BP network to determine structure of the neutral network, wherein the structure includes the number of hidden layers and the number of units of each layer; adopting real-number coding to code by taking weight and threshold as genes, wherein each neutral network corresponds to a chromosome after coding; using the genetic algorithm to perform selection optimization on the network, wherein selection optimization includes the steps of selection, crossing and variation; training the BP network to acquire a final result; decoding an optimal individual selected by the genetic algorithm to generate a new neutral network, and training the new network by applying a BP training algorithm to acquire a final result. The method combines the genetic algorithm with the BP network, thereby being capable of fully utilizing advantages of the both, the problem that initial weight and threshold of the BP network are difficult to determine can be solved, searching range can be narrowed, training speed of the BP network can be increased, and the problem of local minimum can be improved.

The invention proposes an algorithm of video pedestrian face detection and tracking through algorithms of motion object detection and motion object tracking, which pertains to the technical field of pattern recognition. The invention is composed of two main parts of a pedestrian face detection algorithm based on the motion object detection and a pedestrian face tracking algorithm based on the motion object tracking. The invention proposes the pedestrian face detection algorithm based on the motion object detection. The algorithm firstly utilizes a motion analysis method to detect the pedestrian, then calculates the gravity center of the human body and determines the face area according to the gravity center of the human body, and finally utilizes a skin-color model and a template matching method to detect the face in the face area. The invention proposes the pedestrian face tracking algorithm based on the motion object tracking. The algorithm tracks the face of the pedestrian through tracking the pedestrian, thereby effectively avoiding effects on the tracking of the face due to swing, rotation, expression, shelter and other factors of the face of the pedestrian.

The invention discloses a lane line predicating and early warning method suitable for a city road. According to the method, firstly, down sampling is performed on a collected road image, a detection region of interest is set and grayed, filtering enhancement is performed on the region of interest, edge detection is performed through a Canny operator, binarization is performed on the image after edge detection, then the image is mapped on a Hough plane, and lane lines are extracted through improved Hough conversion; then, parameters of the lane line are predicated by the adoption of a classical Kalman filtering algorithm, a region of interest is established, and the lane lines in the region of interest are fitted through a least square method to obtain the optimal predication value; finally, road surface information and current position information of automobiles are combined to establish a lane line departure warning model based on transverse distance, and therefore departure warning is achieved. The recognition method for the lane lines is good in real-time performance and robustness, according to the lane line departure warning model, calculation is easy, and warning is accurate.

The invention discloses a method, a system and equipment for acquiring scene information through a mobile terminal. The method comprises the following steps: establishing a scene database, and binding and saving the information and attributes of scenes, wherein each scene attribute contains scene figure features, position information and shooting visual angle information; sending shot scene photographs to business processing equipment at the network side by the mobile terminal; acquiring the position information and the shooting visual angle information of the shot target scenes through interaction of the business processing equipment and the mobile terminal; acquiring scene features by the business processing equipment according to the photographs, searching the scene figure features from the scene database, searching the scenes in the geographic position range from the scene database, and matching corresponding scenes according to the search results; and sending the information of the matched scenes to the mobile terminal by the business processing equipment. The invention improves the accuracy and the speed for recognizing scene information, and can provide excellent real-time scene information services for users.

The invention discloses a vehicle travelling control method and system, and relates to the technical field of automatic control. Multiple road images at different angles in front of a vehicle are obtained in real time from cameras arranged on different positions of the vehicle, effective road images dead ahead the vehicle are obtained after processing of the images, lane line information is recognized from the road images dead ahead the vehicle, the deviation angle and the deviation distance between the current vehicle traveling direction and a required lane line are calculated, and the vehicle is further controlled to travel according to the deviation angle and the deviation distance. Complex formula calculations can be avoided, efficiency is improved, missed information can be obtained according to actual images, accuracy is further improved, the scheme is simple and efficient, the control is accurate and free of limiting of application scenes, images at multiple angles can be obtained conveniently under the complex conditions that many vehicles are on roads, parallel line travelling occurs frequently, the roads are not standard, the vehicle speed is high and the like, adaptability to multiple scenes is higher, and automatic control over the vehicles can be achieved better.

The invention discloses a method for detecting a moving target in an area to be monitored based on an unmanned aerial vehicle. In the method, the moving target is tracked and positioned through cooperative detection among multiple unmanned aerial vehicles. The method comprises the following steps of: detecting a corresponding subarea by using the unmanned aerial vehicle; making other unmanned aerial vehicles enter the subarea for cooperative detection; and predicting and tracking the moving track of the moving target. By the method for cooperatively detecting the moving target by using the multiple unmanned aerial vehicles, based on the cooperation among the multiple unmanned aerial vehicles, the moving target in a detection area can be detected, positioned and tracked, and the detect of low positioning and tracking accuracy of the moving target in the prior art is overcome; and the target can be accurately positioned, and the positioning accuracy of the target is improved.

The invention discloses an intelligent vehicle running control method and system, and relates to the technical field of automatic control. The intelligent vehicle running control method comprises the steps of: obtaining multiple images of roads in front of a vehicle in different angles in real time by cameras arranged at different positions of the vehicle so as to obtain efficient images of the road in front of the vehicle; extracting lane line information and performing coordinate transformation on the lane line information and demarcating the information at a corresponding position of a road right information infusion coordinate system; obtaining road right information within a preset running range, judging the current road right state based on the road right information, and controlling the vehicle to run based on the road right condition and the lane line information. The intelligent vehicle running control method and system can avoid a multifarious formula algorithm, not only improves efficiency, but also can obtain missing information based on a practical image, further improves accuracy, gives overall consideration for various road right information, can judge a next running control way more exactly and more efficiently based on specific conditions, can leave out a process of a plenty of inefficient calculation, and improves the vehicle running efficiency and accuracy greatly.

Computer-implemented methods are described for identifying item attributes that are likely to be useful to users in refining searches for items. In one embodiment, when a user submits a search query to search for items, all or a portion of the search query is used to look-up a previously-generated list of item attributes (and optionally associated attribute values) that, based on a programmatic analysis that includes an analysis of user activity of a population of users, are associated with the search query and are useful for refining the search. These item attributes, and any associated attribute values, are then presented to the user in a selectable form such that the user can interactively narrow the search.

Systems, methods, and computer-readable storage media for chatter reduction in video object segmentation using a variable bandwidth search region. A variable bandwidth search region generation method may be applied to a uniform search region to generate a variable bandwidth search region that reduces the search range for segmentation methods such as a graph cut method. The method may identify parts of the contour that are moving slowly, and reduce the search region bandwidth in those places to stabilize the segmentation. This method may determine a bandwidth for each of a plurality of local windows of an image according to an estimate of how much an object in the image has moved from a previous image. The method may blend the bandwidths for the plurality of local windows to generate a blended map. The method may then generate a variable bandwidth search region for an object according to the blended map.

A method for reproducing automobile collision accidents based on photogrammetry and deformation of the outer contour of the vehicle body used in the field of transportation. The three-dimensional numerical model of the same model and intact vehicle outer contour; analyze and compare the benchmark model and the deformation numerical model, and obtain the deformation amount and deformation angle of the feature points; establish the local finite element corresponding to the accident scene environment and the vehicle deformation parts involved in the accident Model; through multiple iterative optimization calculations, under the conditions of set speed and collision angle, the numerical simulation results of the deformation of feature points are consistent with the real collision measurement results, so as to accurately determine the vehicle speed and collision angle at the time of the accident. The invention can realize accident reproduction under the condition of accident scene information, effectively improves the efficiency of accident reproduction, and has more objectivity and intuitiveness.

A method and apparatus for gathering, organizing and disseminating web-based content to others, optionally with the association and display of dynamic metadata. The invention enables the operator to select the URL addresses of data accessible via the internet and group them together into a collection that is stored in a database on a central server that can then be disseminated to others via hyperlink. Metadata such as messages are stored on the central server and can been associated with each member of the collection and can be updated dynamically by the recipients. The hyperlink launches a web browser that retrieves the URL collection and metadata from the server and presents it to the recipient in a navigable apparatus. The invention enables digital media performances to be a nexus for associating and accessing the hyperlinks to launch said collections and for associating additional metadata.

Systems for detecting and tracking of objects and co-registration are described which utilizes methods to create a linearized view of a lumen using multiple imaged frames. In reality a lumen has a trajectory in 3-D, but only a 2-D projected view is available for viewing. The linearized view unravels this 3-D trajectory thus creating a linearized map for every point on the lumen trajectory as seen on the 2-D display. In one mode of the invention, the trajectory is represented as a linearized display along 1 dimension. This linearized view is also combined with lumen measurement data and the result is displayed concurrently on a single image. In another mode of the invention, the position of a treatment device is displayed on the linearized map in real time. In a further extension of this mode, the profile of the lumen dimension is also displayed on this linearized map.

The invention provides a three-dimensional reconstruction method for binocular stereo vision. The method comprises the steps of performing image pair collection: obtaining images of a calibration plate and an object; performing camera calibration: performing calibration on a camera based on a Zhengyou Zhang calibration method to obtain initial internal and external parameters of the camera; performing stereo rectification: performing rectification on a distortion parameter through epipolar constraint to obtain a rectified image pair; performing image processing: obtaining a region of interest,and balancing brightness difference between left and right images, thereby searching for matching points; performing stereo matching: implementing a multi-grid intensive stereo matching algorithm toobtain a continuous smooth disparity map; and performing point cloud rebuilding and model rebuilding: obtaining a point cloud chart of the object, performing point cloud optimization, and obtaining acomplete object model through triangulation of a greedy algorithm. The smooth model with no obvious difference with the real object can be obtained; and the method can be used for three-dimensional reconstruction of multiple scenes.

The invention provides a single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation. The single-epoch fixing method comprises the following steps of: improving the ambiguity convergence time of a PPP-RTK method by carrying out optimizing ordering on the fixing feasibility of single-difference ambiguity between alternative satellites, respectively modeling for an observed value residual error of a CA/P1 pseudo-range and observed value residual errors of L1 and L2 phase positions by adopting a single-reference station processing mode based on a PPP-RTK technique, and realizing the single-epoch fixing of combined ambiguity of an ionization-free layer through step-by-step solving of the ambiguity in consideration of a linear constraint relationship between the high precision of a pseudo-range observed value, long wavelength of a wide-lane observed value, wide-lane ambiguity and L1 ambiguity after a user refines the models, thus the determination time of the PPP ambiguity is minimized, and the working efficiency of precisely locating the user is improved to the maximum degree.