Feature extraction of temporal texture based on spatiotemporal motion trajectory

A framework and method are proposed to extract local features of a certain kind of naturally occurring, non-rigid motion pattern, referred to as temporal texture. To catch both the spatial and temporal features of this complex pattern, we focus on the surfaces of motion trajectories in spatiotemporal space derived from multiple frames of an image sequence, and represent the surfaces as a set of tangent planes of the surfaces. From the distribution of the tangent planes in local regions in time and space, spatial and temporal texture features are computed The features considered here include spatial arrangement of dominant contours, uniformity of velocity components, and trajectory run length. Experimental results show that the newly defined features have the capability of quantifying the features of complex motion patterns such as weather radar images.