Genetic programming extension to APF-based monocular human body pose estimation
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- @Article{journals/mta/Szczuko14,
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author = "Piotr Szczuko",
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title = "Genetic programming extension to {APF}-based monocular
human body pose estimation",
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journal = "Multimedia Tools and Applications",
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year = "2014",
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volume = "68",
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number = "1",
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pages = "177--192",
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keywords = "genetic algorithms, genetic programming, pose
estimation, evolutionary optimisation",
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bibdate = "2014-01-13",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/mta/mta68.html#Szczuko14",
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URL = "http://dx.doi.org/10.1007/s11042-012-1147-4",
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size = "16 pages",
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abstract = "New method of the human body pose estimation based on
a single camera 2D observation is presented, aimed at
smart surveillance related video analysis and action
recognition. It employs 3D model of the human body, and
genetic algorithm combined with annealed particle
filter for searching the global optimum of model state,
best matching the object's 2D observation.
Additionally, new motion cost metric is employed,
considering current pose and history of the body
movement, favouring the estimates with the lowest
changes of motion speed comparing to previous poses.
The genetic memory concept is introduced for the
genetic processing of both current and past states of
3D model. State-of-the-art in the field of human body
tracking is presented and discussed. Details of
implemented method are described. Results of
experimental evaluation of developed algorithm are
included and discussed.",
- }
Genetic Programming entries for
Piotr Szczuko
Citations