1 research outputs found
Spatiotemporal Gabor filters: a new method for dynamic texture recognition
This paper presents a new method for dynamic texture recognition based on
spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of
investigation that extends the concept of self-similarity of texture image to
the spatiotemporal domain. To model a dynamic texture, we convolve the sequence
of images to a bank of spatiotemporal Gabor filters. For each response, a
feature vector is built by calculating the energy statistic. As far as the
authors know, this paper is the first to report an effective method for dynamic
texture recognition using spatiotemporal Gabor filters. We evaluate the
proposed method on two challenging databases and the experimental results
indicate that the proposed method is a robust approach for dynamic texture
recognition.Comment: Workshop on Computer Vision 2011 http://www.wvc2011.ufpr.b