15 November 2007 Multi-scale representations of the motion trajectory
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678634 (2007) https://doi.org/10.1117/12.749935
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
At present, mobile computation is developing rapidly for location-based services. For the online GIS or cartography of moving objects, the techniques of progressively refined details greatly reduce the overhead of storage, computation, display, and communication resources. Again, human cognition about the reality is made at multi-scales of abstraction. Multi-scale representations of the moving object trajectory are required upon human hierarchical cognition and progressively refined details modeling. To this end, wavelet-based multi-scale representations of the motion trajectory are presented in this paper. We consider parametric motion and a sequence of spatio-temporal coordinates as database representations of the motion trajectory. Correspondingly, multi-scale wavelets representations are considered as computing representations of the motion trajectory. The wavelet transform is applied to time-series of spatial coordinates for finding dramatic or gradual changes of motion speed at each scale. Multi-scale wavelets representations of the motion trajectory have revealed global motion trends at the large scale and local motion details at the small scale. Inherently, spatio-temporal coordinates, motion, and dynamics are three-scale representations of spatio-temporal semantics. Multi-scale representations of motion trajectory are experimentally illustrated. Our work is devoted not only to mobile computation but also to extension of wavelet analysis into geometry data processing.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Shu, Jun Pang, Cuihong Qi, "Multi-scale representations of the motion trajectory", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678634 (15 November 2007); doi: 10.1117/12.749935; https://doi.org/10.1117/12.749935


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