The invention provides an embedded platform-oriented dual-mode target detection method and
system, and the method comprises the steps: carrying out the segmentation
processing on a to-be-recognized image according to a preset segmentation
algorithm, and obtaining at least one image box; performing
feature extraction on the image box through depth separable
convolution in the improved YOLOv4-Tiny network to obtain image features corresponding to the image box; determining an
infrared image and a visible light image according to the image features, respectively inputting the same a predefined visible light target detection model and an
infrared target detection model after registration, and outputting detection results of the visible light target detection model and the
infrared target detection model; and performing decision-level
image fusion on the detection results through a pre-established decision-
level fusion detection model, so that infrared and visible-light multi-band information
complementation is realized, and a dual-mode target detection result is obtained. According to the scheme, real-time detection of an embedded platform for a multi-
source image is realized, and the method has more obvious advantages in detection precision compared with a single-band target detection model while the requirements of real-time performance and effectiveness are met.