Infrared Moving Target Detection Method Based on Cross-Entropy-Driven Transition Zone Extraction

For moving target detection and recognition in infrared image sequences, we propose an original approach addressing infrared target detection in complex dynamic scenes. The method utilizes cross-entropy-based transition zone extraction to enhance detection accuracy and robustness, implemented through entropy thresholding and morphological operations for precise target segmentation.