Video monitoring of slope failure using spatiotemporal Gabor filtering

We propose a method for detecting precursors, such as small rock and/or soil fall, which occur prior to massive slope failure. The key feature of our method is directly recognizing the trajectory of a small collapse using spatiotemporal Gabor filtering. Simulation analysis, where the conditions of the simulation are quantitatively defined, reveals the effectiveness of the proposed method in detecting a tiny moving object with low contrast in the background under low frame-rate video monitoring. Experiments using actual monitoring videos of a hazardous slope confirmed the effectiveness of our method. The effects of error factors in an outdoor environment, which may inhibit recognition, are also evaluated.