The invention discloses an edge video intrusion detection method based on multi-
modal fusion, which relates to the technical field of intrusion detection, and comprises the following steps: calculating a
shortest path tree and a visible polygonal region of a target selection final mark position, determining virtual road points by combining a polygonal skeleton of a virtual scene, fitting paths between adjacent road points, and generating a virtual
road map through recursive expansion. Utilizing a
dynamic programming algorithm to iteratively solve to obtain an optimal action sequence, mapping to generate an optimal physical
path diagram, carrying out space alignment on the optimal physical
path diagram and a virtual
path diagram, and in combination with a user physical
view angle tracked in real time, searching a corresponding point of the user physical
view angle on a physical path at the previous moment, and calculating a corresponding virtual
view angle of the user in the virtual security scene through a view angle mapping function, sequentially scheduling the multi-
modal sensing terminals along the optimal physical path diagram, and generating hierarchical responses according to
threat levels after fusing multi-
modal detection results. According to the detection method, the rationality and cross-scene
adaptive capacity of detection
resource utilization in an edge environment are remarkably improved.