View registration using interesting segments of planar trajectories

We introduce a method for recovering the spatial and temporal alignment between two or more views of objects moving over a ground plane. Existing approaches either assume that the streams are globally synchronized, so that only solving the spatial alignment is needed, or that the temporal misalignment is small enough so that exhaustive search can be performed. In contrast, our approach can recover both the spatial and temporal alignment, regardless of their magnitude. We compute for each trajectory a number of interesting segments, and we use their description to form putative matches between trajectories. Each pair of corresponding interesting segments induces a temporal alignment, and defines an interval of common support across two views of an object that is used to recover the spatial alignment. Interesting segments and their descriptors are defined using algebraic projective invariants measured along the trajectories. Similarity between interesting segments is computed taking i...

• Type: Conference
• Year: 2005
• Where: AVSS
• Authors: Walter Nunziati, Jonathan Alon, Stan Sclaroff, Alberto Del Bimbo
• Keywords: AVSS 2005, Interesting Segments, Signal Processing, Spatial Alignment, Temporal Alignment