42 results about "Trajectory pattern" patented technology

A computer (16) for capturing a colored moving image photographed by photographing means (14, 15) has an extraction means for extracting images having necessary swing postures as check-point images from a large number of still images constituting the color moving image; a means for obtaining a coordinate of a position of each of attention-focused points, which operate, in each of the check-point images, while a golfer (11) is swinging; a means for diagnosing a golfer's swing form by setting a plurality of diagnosis items for each trajectory pattern obtained by a ball motion measuring apparatus (20) to classify behavior of a golf ball and by comparing numerical data generated from data of the coordinate of the position of each of the attention-focused points with a judgement value set in each of a plurality of diagnosis items; and a means for outputting an advice drill corresponding to a result of a diagnosis.

The invention provides a data management method and device. The data management method can perform trajectory storage and querying by using a trajectory pattern extracted from lots of historical trajectories. The data management method includes: matching original trajectory points to a road network through a map matching method, and acquiring a trajectory set after map matching; determining a minimum support and a minimum road segment number corresponding to different road types according to training data; establishing a trajectory tree according to the trajectory set, and establishing a trajectory sub-tree with each node of the trajectory tree as a staring point, wherein the trajectory tree and the trajectory sub-trees include at least one node, and each node is an intersection of the road network; determining a trajectory pattern meeting the minimum support and the minimum road segment number, passing through each node according to the trajectory sub-trees; and performing redundancy elimination treatment on the trajectory pattern of each node, and generating a new trajectory pattern and storing the new trajectory pattern. The data management method and device can reduce trajectory storage redundancy, and can accelerate the trajectory querying speed.

A training projectile that utilizes flutes or flats to augment roll damping characteristics and thereby cause the projectile to crossover into a gyroscopically unstable trajectory pattern at a predetermined time. Prior to the crossover, the training projectile maintains a gyroscopically stable trajectory, which enables extrapolation to ascertain the trajectory of a non-training projectile that does not have an augmented roll damping section. The unstable trajectory pattern substantially reduces the distance the training projectile can traverse, thereby reducing the amount of area required for a training range.

The invention discloses a gravity ball unlocking system and a method of a mobile phone. The gravity ball unlocking system and the method of the mobile phone comprise the following steps: step A, a microprocessor acquires the motion trajectory of a gravity ball and calls a trajectory pattern in a trajectory pattern storer through a trajectory module; step B, the gravity ball is controlled to move according to the trajectory pattern, and a trajectory unlocking order is acquired and sent to a central processing unit (CPU); and step C, the CPU compares the trajectory unlocking order with an unlocking order in an unlocking trajectory storer, and conducts unlocking if the trajectory unlocking order is identical to the unlocking order in the unlocking trajectory storer; otherwise, operations finish. According to the gravity ball unlocking system and the method of the mobile phone, the movement, in a motion trajectory pattern preset in the mobile phone or in the trajectory pattern according to the unlocking trajectory, of the gravity ball is simulated, so that the purpose of unlocking a mobile phone screen is achieved. The gravity ball unlocking system and the method of the mobile phone have the advantages of being high in interestingness and strong in entertainment, and can effectively increase experience of a user.

The invention provides a multi-camera motion track detection method and device and a storage medium, and the method comprises the steps: setting a grid pattern on the ground, and building a ground coordinate system; pasting an asymmetric pattern on the top of the robot, establishing a pattern coordinate system, and obtaining coordinates of the angular points in the pattern coordinate system; establishing a plurality of cameras are arranged above the ground to shoot grid patterns and pictures of the robot, camera coordinate systems and acquiring pixel coordinates of angular points of the asymmetric patterns in the camera coordinate systems; obtaining a first type of homography matrix of each camera coordinate system relative to the ground coordinate system, a rotation amount and a translation vector between the first type of homography matrix and the ground coordinate system, and an equation of the ground under the camera coordinate system; calculating a rotation amount and a translation vector between the pattern coordinate system and the ground coordinate system; acquiring a second type of motion trajectory pattern of a robot by combining images of each camera. According to the invention, the measurement deviation is reduced, the measurement precision is improved, and the positioning range can be infinitely expanded.

The invention discloses a road network trajectory clustering analysis method based on an improved DPC algorithm, and belongs to the field of clustering analysis methods, and the method comprises the steps: S1, carrying out the effective collection of a road moving object trajectory; s2, expressing trajectory data; s3, calculating the distance between the sub-trajectories by adopting an aggregationdistance CD, fusing the vertical distance, the parallel distance and the angle distance by the distance, and obtaining inter-trajectory similarity measurement on the basis of the CD distance; s4, according to the fused CD distance matrix, carrying out sub-track clustering by utilizing an improved DPC algorithm; and S5, for the obtained clustering result, extracting a classical trajectory of the clustering result as a new behavior mode of the whole road network. According to the method, the precision of road trajectory measurement is improved, compared with a traditional density clustering algorithm, the influence of self-defined parameters is reduced, the interactivity with a user is improved, and it is beneficial to discover meaningful trajectory modes in a road network.

The invention discloses an autonomous tracking control method of a rotor aircraft. The aircraft is loaded with a height measuring module and a camera, and maintains at a hovering state after reachinga preset height. The autonomous tracking control method of a rotor aircraft is characterized in that the autonomous tracking control method of a rotor aircraft mainly controls flying through a methodbased on machine vision; a special trajectory pattern with black lines is arranged directly under the aircraft; when the aircraft is flying, the trajectory pattern images on the ground are collected directly through a downward camera, and the image information is transmitted to an onboard processor module to generate deviation information of angle and distance through processing according to the following modes: converting the deviation information of angle and distance into a PWM signal which controls the flight of the aircraft, and transmitting the deviation information of angle and distanceto an aircraft control module on the aircraft through a signal receiver to realize autonomous tracking flight of the aircraft. The visual navigation under the autonomous tracking flight of autonomoustracking control method of a rotor aircraft has the advantages of high precision, small volume, large amount of information, passiveness and rich information, enables the aircraft to work in an areawith strong external interference, and can be applied to the aspects of pipeline inspection and power inspection.

A multiple imputation (MI) based fuzzy clustering with visualization-aided MI validation that improves the accuracy and the stability of identified patterns, generally the structure of HD data with missing values.

The present disclosure discloses a method for drawing a cranial image trajectory. The method comprises: providing, by a processor, at least one trajectory pattern template for parts of a standard cranial anatomy; acquiring, by a radiation image device, at least one cranial image of a patient, superimposing, by the processor, the trajectory pattern template of each part of the standard cranial anatomy onto the corresponding position of the patient's cranial image, and acquiring the trajectory pattern of the cranial image; and if a deviation is determined between the shape of the respective structure on the trajectory pattern of the patient's cranial image and that of the trajectory pattern template of each part of the standard cranial anatomy, adjusting the shape of the corresponding trajectory pattern template in the cranial anatomy so as to be the same as the respective structure in the cranial image by the processor.

A collision determination server includes a receiver configured to receive a collision candidate moving image from a moving object, an extraction unit configured to extract a plurality of feature points in a frame image constituting the received collision candidate moving image from the frame image, a generation unit configured to generate trajectory patterns of the feature points by tracking the extracted feature points, and a determination unit configured to determine whether or not a collision has occurred by analyzing the trajectory patterns.

A method includes obtaining multiple sets of trajectory data, each descriptive of trajectories of two or more objects (e.g., first and second objects). The method also includes generating transformed trajectory data based on the trajectory data. Each set of transformed trajectory data is descriptive of the trajectories of the two or more objects in a normalized reference frame in which a movement path of the first object is constrained. The method further includes generating feature data, performing a clustering operation based on the feature data to generate a set of trajectory clusters, and generating training data based on the set of trajectory clusters. The method further includes using the training data to train a machine learning classifier to classify particular trajectory patterns.

The invention provides a preparation method of a graphene circuit board. A positive electrode circuit with a voltage, a conductive metal negative-electrode substrate, and an oxide graphene solution coating layer coating the negative-electrode substrate are arranged. When the positive electrode circuit is connected, electric conduction with the negative-electrode substrate is realized to generate currents; and reduction of the oxide graphene solution on the negative-electrode substrate to graphene is carried out, so that reduction of a graphene layer on the negative-electrode substrate is realized. Because of XY addressing of the positive electrode, a graphene trajectory pattern layer can be formed on the negative-electrode substrate in accordance with a set circuit route. After corrosion of the negative-electrode substrate, a graphene circuit pattern is formed, so that a graphene circuit board is obtained. With the method provided by the invention, prototype manufacturing of the graphene circuit board as well as prototype drawing and manufacturing of the circuit pattern and line of the graphene circuit board can be carried out rapidly. Moreover, the method having simple steps can be implemented rapidly; and because no chemical medicine is employed during the preparation process, environment-friendly and pollution-free effects can be realized.

A pre-planning interface displaying step of a method for verifying panoramic images of implants is for displaying a picture, a menu and a cursor on a screen. An implant trajectory pattern adding step is for moving the cursor to select an implant adding item by a user and then generating the implant trajectory pattern in the picture. An implant trajectory pattern adjusting step is for controlling the cursor to adjust a position of the implant trajectory pattern and then move the implant trajectory pattern from a starting position to a target position in the picture. A panoramic image verifying step is for rotating the surgical site pattern around the implant trajectory pattern at a viewing angle according to the target position and the implant trajectory pattern as a central axis, and the viewing angle is greater than 0 degrees and smaller than or equal to 180 degrees.

The invention provides a vehicle-road cooperative abnormal driving condition detection method and system, terminal equipment and a medium. The method comprises the steps of determining a normal driving trajectory mode class number of a detection road section; determining an initial value of a center line of each trajectory mode based on a scene activity diagram; obtaining a newly added trajectoryset; determining upper and lower approximate set affiliation of the newly added trajectory; based on a rough K-means clustering method, performing incremental learning on the trajectory modes by usingthe newly added trajectory set until the center line of each trajectory mode has no obvious change; carrying out anomaly confirmation and classification on each suspected abnormal trajectory stored in the rough set boundary region of each trajectory mode class by adopting a KNN classifier; and triggering an alarm and outputting the type of the event and the information of the vehicle running abnormally after the abnormal running trajectory is confirmed. According to the method, the adverse effect of the suspected abnormal trajectory on the normal trajectory mode extraction precision is effectively eliminated, and the event detection and classification performance is effectively enhanced.