5 results about "Targeted surveillance" patented technology

The invention provides a low-altitude target monitoring, positioning and tracking method and system based on a civil network, and the method comprises the steps: enabling a plurality of terminal devices at different positions to point to and align at a low-altitude target, collecting target measurement data, and uploading the target measurement data to a background server through the civil network; performing abnormal point detection and elimination by adopting a Z-score detection and dynamic time window filtering method, judging a target batch and a target type according to uploaded data, states and time intervals, and storing the target batch and the target type in a database in an original data form; performing fusion processing on a plurality of pieces of uploaded data through a trajectory fusion algorithm to form a target trajectory, and monitoring, positioning and tracking a low-altitude target; and the target track is sent to a front-end server for target fusion result display, and track information of all the low-altitude targets is completely displayed. According to the invention, data are collected through the terminal equipment, low-altitude targets are monitored, positioned and tracked based on a civil network, low-altitude, slow and small targets are detected and found in time, the detection efficiency is improved, and the system equipment cost is reduced.

This invention discloses a method for monitoring moving targets on airport surfaces based on "satellite positioning + image data," applied to the field of target surveillance. It addresses the low detection accuracy problem of existing target detection algorithms in airport surface target detection. This invention preprocesses satellite positioning data and image data, utilizes a neural network to align, interact with, and fuse features from different sources, and performs target detection based on the fused features. Satellite positioning data provides precise target location information, while image data provides rich visual context. By combining satellite positioning data and image data, the complementary advantages of both can be fully utilized, improving the accuracy and robustness of target detection. This multimodal fusion method not only effectively copes with the complex environment of airport surfaces but also maintains good performance under various lighting and weather conditions. Furthermore, the method of this invention can also improve the detection capability of occluded targets.

This invention discloses a system and method for optimizing the configuration of a space target surveillance satellite constellation. The system includes: a constraint modeling and configuration module, which uniformly models the detection constraints and observation constraints in the space target surveillance process and constructs an observable judgment model; a surveillance performance evaluation index module, which constructs various surveillance performance evaluation indices; a multi-objective parallel optimization module based on a determinant-based point process, which, based on a non-dominated sorting genetic algorithm, introduces a determinant-based point process to model the diversity of the non-dominated solution set, optimizes the selection of individual quality and solution set diversity by maximizing the determinant of the subset of the kernel matrix, and completes efficient screening using a greedy approximate inference method; and a constellation configuration optimization solution module, which constructs a multi-objective optimization problem with the surveillance performance evaluation index as the optimization objective, calls the multi-objective parallel optimization module based on a determinant-based point process for joint optimization, and obtains the optimal or near-optimal constellation configuration scheme that satisfies multiple constraints.

The application discloses a kind of active coherent optical synthetic aperture super-resolution imaging space target monitoring systems, including active coherent light generation module, optical imaging module, image super-resolution reconstruction module, power module, motion control module and heat dissipation module.Active coherent light generation module is constituted by laser and optical phased array, optical imaging module is constituted by front end optics and surface array detector, image super-resolution reconstruction module is constituted by GPU and super-resolution reconstruction software.Laser provides light source for optical phased array, optical phased array irradiates light source to target, and front end optics receives target reflected light, and forms low-resolution image on surface array detector.Image super-resolution reconstruction module carries out pre-processing and super-resolution reconstruction to low-resolution image.Power module provides power supply for other modules.Motion control module is used to control system to realize aiming tracking, and heat dissipation module is used for laser cooling.The application can realize 4-8 times equivalent aperture super-resolution imaging.

This application discloses a method, apparatus, device, medium, and product for anomaly detection in surveillance video, relating to the field of image processing technology. The method includes: acquiring surveillance video and surveillance radar data corresponding to a preset surveillance area; extracting features from the surveillance video to obtain gradient feature block histograms and optical flow feature block histograms; determining abnormal region information in the surveillance video based on the gradient feature block histograms and optical flow feature block histograms; obtaining target surveillance radar data corresponding to the abnormal time period from the surveillance radar data; and inputting the surveillance video, target surveillance radar data, abnormal region information, and preset query commands into a preset multimodal large language model, so that the multimodal large language model can identify abnormal objects in the abnormal region information, obtaining abnormal object identification information output by the multimodal large language model. This application can improve the accuracy of anomalies detected from surveillance video.