Photon-level single-pixel imaging overcomes the reliance of traditional imaging techniques on large-scale array detectors, offering advantages such as high sensitivity, high resolution, and efficient photon utilization. This paper proposes a photon-level dynamic feature single-pixel imaging method, leveraging the frequency domain sparsity of the object's dynamic features to construct a compressed measurement system through discrete random photon detection. In the experiments, we successfully captured 167 Hz and 200 Hz featured frequencies, and achieved high-quality image reconstruction with the data compression ratio of 20%. Our approach introduces a new detection dimension, significantly expands the applications of photon-level single-pixel imaging in practical scenarios.