A smith-waterman local sequence alignment approach to spatial activity recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic programming with two dimensional spatial data to quantify sequence similarity. SW is well suited for spatial activity recognitio...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society Conference Publishing Services
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/22473 |