Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis

—This paper is concerned with the representation and recognition of the observed dynamics (i.e., excluding purely spatial appearance cues) of spacetime texture based on a spatiotemporal orientation analysis. The term “spacetime texture” is taken to refer to patterns in visual spacetime, (x, y, t), that primarily are characterized by the aggregate dynamic properties of elements or local measurements accumulated over a region of spatiotemporal support, rather than in terms of the dynamics of individual constituents. Examples include image sequences of natural processes that exhibit stochastic dynamics (e.g., fire, water and windblown vegetation) as well as images of simpler dynamics when analyzed in terms of aggregate region properties (e.g., uniform motion of elements in imagery, such as pedestrians and vehicular traffic). Spacetime texture representation and recognition is important as it provides an early means of capturing the structure of an ensuing image stream in a meaning...

• Type: Journal
• Year: 2012
• Where: PAMI
• Authors: Konstantinos G. Derpanis, Richard P. Wildes
• Keywords: Image Data Sets, Orientation Analysis, PAMI 2012, Software Engineering, Texture Representation