Unmanned aerial vehicle target tracking method and system based on mamba feature extraction

• Main Authors: XIANG CHAOQIAN, LI RUOLONG, AI YANDI, XU XUESONG
• Format: Patent
• Language: Chinese; English
• Published: 10.06.2025
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides an unmanned aerial vehicle target tracking method and system based on mamba feature extraction, and the method comprises the steps: obtaining a video stream in real time, and obtaining a search region image and a template image; the search area image and the template image are input into a mamba-based backbone network for feature extraction, the backbone network comprises a VSS Block module and an SPPF module, multi-scale feature extraction is performed in the VSS Block module through a DWRFEM unit, the DWRFEM unit comprises two branches, one branch is used for performing feature extraction on input data through convolution operation, and the other branch is used for performing feature extraction on the input data through SPPF; the other feature extraction module is used for extracting global fusion features by adopting depth separable cavity convolution of wavelet transform after convolution operation is carried out on the input data; template and search area image features are subject