Video monitoring of slope failure using spatiotemporal Gabor filtering

Authors:
Ken Okamoto;Toshio Watanabe;Hiroshi Ban;Yuji Maeda;Akitoshi Hanazawa;Takashi Morie
Affiliations:
NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Tokyo, Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Tokyo, Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Tokyo, Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Tokyo, Japan;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

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.