Abstract
A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-represented as normalised axis crossover vectors. These vectors are then fed into a neural network which determines the typicality of a given human shape, allowing for a given human’s motion deformation to be analysed. Experiments are described which investigate the success of the technique being presented.
Original language | English |
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Pages (from-to) | 48-57 |
Journal | Lecture Notes in Computer Science (LNCS) |
Volume | 1899 |
DOIs | |
Publication status | Published - 2000 |