In optoelectronic imaging systems, the use of multi-camera/multi-aperture computational imaging technology is increasingly recognized as an essential method for achieving wide-field and high-resolution image reconstruction. This technology seeks to overcome the spatial bandwidth product limitations inherent in single imaging systems. However, multi-aperture image synthesis typically involves complex processes such as feature point extraction, descriptor matching, and alignment between sub-eye images, which substantially increases the computational complexity and poses challenges for real-time performance. This is particularly problematic in scenes with moving objects, where the reconstructed images often suffer from ghosting phenomena such as artifacts and misalignment, thereby degrading the imaging quality. To address these issues, this paper introduces a dynamic panoramic image synthesis technology using a multi-aperture compound eye camera array. The technology leverages compute unified device architecture (CUDA) to enhance and accelerate the registration algorithm based on speeded up robust features (SURF). Furthermore, it incorporates a frame difference method to minimize redundant information in the multi-frame registration process, enhancing the registration accuracy of the synthesized image by 15.91% and reducing the registration time by 91.23%. Additionally, the visual background extraction (VIBE) algorithm is integrated into the energy function of the seam line, with established update criteria for the seam line, facilitating the synthesis of panoramic images from multi-frame motion images without misalignment and artifacts. A 5×5 multi-aperture compound eye camera array imaging system was developed to achieve a horizontal 90° field of view synthesis. Compared with traditional stitching algorithms, this approach demonstrates improvements of 1.96 and 1.85 on the reference-free image space quality evaluation index (BRISQUE) and the perception-based image quality evaluation index (PIQE), respectively. Moreover, the system can complete the stitching, reconstruction, and synthesis of 25 sub images at interactive frame rate of 13 frame/s, reducing the reconstruction time by 99.7% compared to non-CUDA accelerated stitching algorithms.