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A fuzzy qualitative approach to human motion recognition
2008
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)
The understanding of human motions captured in image sequences pose two main difficulties which are often regarded as computationally ill-defined: 1) modelling the uncertainty in the training data, and 2) constructing a generic activity representation that can describe simple actions as well as complicated tasks that are performed by different humans. In this paper, these problems are addressed from a direction which utilises the concept of fuzzy qualitative robot kinematics [9] . First of all,
doi:10.1109/fuzzy.2008.4630530
dblp:conf/fuzzIEEE/ChanLBK08
fatcat:iifcifb2vfhkfo6y6lzoecqbca