This application relates to an image
feature recognition experimental method and apparatus, belonging to the field of image
feature recognition technology. It involves real-time acquisition of images of an experimental scene and preprocessing them to obtain clear, continuous frame images. Based on these, a tracking and locking operation is performed on a dynamic target to ensure the target remains within the effective monitoring
field of view. Subsequently, precise target
feature data is extracted from the locked target detection image, and hierarchical cross-matching evaluation is performed using a dual-
library standard feature
library, including both local and cloud-based libraries. Finally, a corresponding feedback
signal is generated based on the evaluation results. This application, through a dynamic tracking and
locking mechanism, can adjust the
image acquisition angle in real time, ensuring the dynamic target remains continuously within the monitoring
field of view. This avoids field-of-view shift and target loss under fixed-angle acquisition, effectively solving the defect of dynamic target field-of-view loss. It also addresses the problem of
delayed response in security status determination caused by existing technologies relying on a single local feature
library.