9results about How to "Good tracking effect" patented technology

Provided is an image processing device, an optical communication device, an optical communication system, a recording medium, and an image processing method. An image processing device (5) includes a processing section that acquires images (44) that are continuous in time, acquires the position of a visible light source in an on state among the continuous images (44) as the position of a mobile body (3), and acquires identification information of the mobile body based on the flicker pattern of invisible light of an invisible light source provided to the mobile body (3).

The invention discloses a multi-extended target joint tracking and classification method based on star convex RHM and LMB filters, and belongs to the field of radar target tracking. According to the method, an LMB parameter set is initialized by using target prior information, and then a sensor measurement set is divided through a mean shift algorithm; then, state prediction is achieved by combining survival target parameter updating and new target parameter sampling, and then measurement updating is completed through LMB-to-GLMB, GLMB updating and GLMB-to-LMB; and then trimming and fusing the LMB parameter set, estimating the number of targets, extracting state information, and circularly executing until observation is finished. According to the method, a star convex RHM modeling expansion state is adopted to reduce dimensions, the low detection probability / high clutter scene performance is improved based on an LMB framework, the tracking classification effect and the real-time performance are both considered, and the engineering application value is high.

The application provides a three-dimensional gesture tracking method based on an RGB camera, which comprises the following steps: taking the RGB camera as an input, performing standardization processing on a picture, and sending the picture into a three-dimensional joint detection module to extract image features, predict a preliminary three-dimensional joint and calculate a hand skeleton length; using a particle swarm optimization algorithm to iteratively fit the hand skeleton length and a MAMO hand model, finding an optimal hand shape and obtaining a new three-dimensional joint; sending the new three-dimensional joint into an inverse kinematics module to solve posture parameters required by the MAMO model; using a MANO model to combine the optimal hand shape and the posture parameters θ to obtain final joints and grid vertices; and performing reconstruction rendering on the obtained grid vertices and joints to output a final three-dimensional hand real-time tracking posture. The method provided by the application has high prediction accuracy and high three-dimensional gesture tracking effect precision, and the tracking process and result are easy to realize.

The application discloses a kind of under the FDI network attack of reinforcement learning dual-motor safety coordination control method, comprising the following steps: (1) the double-time scale mathematical model of flexible coupling dual permanent magnet synchronous motor system is established;(2) the FDI network attack model of double-time scale mathematical model is established;(3) design safety coordination controller based on LQR theory;(4) according to the FDI network attack model of step (2) established, design model-free reinforcement learning, the safety coordination controller of step (3) is iteratively solved;The method avoids the influence caused by FDI network attack to system, using reinforcement learning algorithm can not depend on model data, avoid the influence of motor parameter change to system;For improving the coordination control performance of networked dual permanent magnet synchronous motor coordination control system and guarantee network security has important significance.

This invention provides a multi-target tracking algorithm based on spatial attributes, belonging to the field of computer vision technology. It solves the problem of poor tracking performance in complex situations. The technical solution includes the following steps: S1: Strengthening the positional correlation between the same target by adding the positional features of the target from the previous frame to the current frame to improve anti-occlusion capability; S2: Enhancing detection capability with spatial information by proposing global and local positional feature extraction modules in the detector part to obtain detailed spatial positional information between different targets; S3: Proposing a new calculation standard in the target matching part of the tracker, utilizing the spatial relationship between targets to make the matching method between intersecting targets more accurate; S4: Matching the calculated target anchor boxes and combining them with a re-identification model to obtain the final tracking result. The beneficial effects of this invention are: This method strengthens spatial information and makes it more adaptable to targets with complex movements, resulting in more stable tracking.

The application belongs to the technical field of electric-gas servo control, and discloses a control method for enhancing robust anti-interference of a voice coil motor direct drive system. S1, a dynamic equation, a model error and a state equation of the voice coil motor direct drive system are established; S2, the lumped interference is expanded into an additional state variable to update the state equation, a condition that an extended state anti-interference observer and an estimation error thereof satisfy is set on the basis of the updated state equation, and the estimation of the lumped interference is calculated by using the extended state anti-interference observer; S3, a tracking error and an auxiliary error signal are set, a controller for enhancing robust anti-interference is constructed, and a difference between the estimation of the lumped interference and the lumped error is compensated, so as to realize the control of the voice coil motor direct drive system. By the application, the selection limit of a robust gain parameter is reduced, and the control precision and the robustness of the system are ensured in the case that the system suffers from strong interference.

This invention relates to an AI vision-based method for monitoring static electricity release behavior. It solves the technical problem of lacking a method for monitoring whether static electricity is being released and whether the release behavior is standardized in industrial safety production. The method includes the following steps: 1) Initializing parameters and starting the algorithm service; 2) Acquiring scene images; 3) Sending the scene images to the algorithm detector for detection; 4) Deleting personnel data information not in the static electricity release area; 5) Obtaining tracking numbers; 6) Binding hand detection boxes to corresponding human body detection boxes; 7) Performing minimum pixel filtering; 8) Determining whether the remaining personnel are entering or leaving the workshop; 9) Obtaining the determination result of whether the remaining personnel are releasing static electricity; 10) Obtaining the determination result of whether the remaining personnel have completed releasing static electricity; 11) Obtaining the determination result of whether the remaining personnel have left the static electricity release area; 12) Determining whether an alarm is triggered; 13) Repeating steps 2) to 12) until the monitoring period ends.

The application discloses a dynamic liquid level detection system and method based on a stirred tank, and belongs to the field of liquid level detection. The system comprises a differential pressure sensor module, a rotating speed acquisition module and a signal processing unit. The signal processing unit comprises a vortex dynamic compensation module, an adaptive filtering module and a delay prediction compensation module connected in series. The application collects the differential pressure signal of the liquid column in the tank and converts it into an apparent liquid level value, and simultaneously collects the rotating speed signal of the stirring paddle. The liquid level deviation caused by the vortex at the tank wall is calculated according to the rotating speed signal, and a first-order recursive tracking output dynamic compensation is used to eliminate the vortex liquid level deviation. The low-pass filter cutoff frequency is adaptively determined according to the rotating speed signal to suppress the stirring fluctuation noise. The change rate of the filtered liquid level value and the group delay are used for forward prediction correction to reduce the filtering delay. The application realizes dynamic cooperation of each link by using the rotating speed signal as a link, and improves the accuracy and response speed of the liquid level measurement under the stirring condition.

The invention provides a decoupling equivalent device and method for many-to-many submodules of a flexible direct current converter valve, and relates to the field of flexible direct current transmission, and the device comprises a current generator which is used for converting an input direct current into an equivalent current; the reactor is configured to simulate a real working condition; the tested sub-module is used for receiving the equivalent current from the current generator and testing the equivalent current; one end of the test-accompanying sub-module is reversely connected to the tested sub-module in series, the other end of the test-accompanying sub-module is connected with the input end of the current generator, and the test-accompanying sub-module is configured to be used for counteracting the direct-current voltage of the tested sub-module; and the feedforward and feedback controller is connected to the current generator and is used for controlling the current generator to output equivalent current.