Multi-video event blind area change process deduction method based on geographical semantic association constraints

Abstract

The invention relates to a multi-video event blind area change process deduction method based on geographic semantic association constraint, which belongs to the technical field of geographic space data processing and comprises the following steps: a) extracting a longitudinal hierarchical structure and a transverse topological network of an enhanced semantic geographic position, and realizing geographic position semantic association expression under a unified positioning division benchmark of a monitoring scene interval; b) judging a geographic motion mode of a behavior-by-behavior process based on the relationship change characteristics of the track and the geographic position; c) establishing blind area behavior process characteristic parameters for mapping space-time distance migrationcost; and d) realizing blind area behavior process deduction through monitoring blind area geographic entity semantic path planning combined with a geographic position scene, a geographic motion modeand a space-time distance constraint. Geographic constraint deduction of blind area information in the discrete change process is completed, geographic semantic enhancement oriented to the continuouschange process of the monitoring area is achieved, and understanding of complete event change process information in different levels is supported.

Description

technical field [0001] The invention relates to a deduction method for blind area change process of multi-camera video event information constrained by geographic semantic association, and belongs to the technical field of geospatial data processing. Background technique [0002] The geographic video content acquired by a single camera is affected by the temporal and spatial locality of the imaging window, and records the short-term behavior of the characteristic object in a specific location or area. The geographic video content based on a single camera is therefore limited to parsing the corresponding local abnormal changes. Local small-scale events; although globally correlated multi-geographic videos in the network monitoring environment have effectively expanded the overall scope of the monitoring space-time window and provided geographic video datasets that record multi-scale and complex event information, the event knowledge in the data content is still limited. There...

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Problems solved by technology

Aiming at the common problem of event information blind spots in geographical video lens groups oriented to event process association clustering due to the influence of discrete distribution of monitoring equipment scope, a deduction method for the change process of multi-camera video event information blind areas with geographical semantic association constraints is proposed.

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