opencv多目标跟踪源码+论文
2016-08-23
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we propose an alternative formulation of multitarget tracking as minimization of a continuous
energy. Contrary to recent approaches, we focus on designing an energy that corresponds to a more complete representation of the
problem, rather than one that is amenable to global optimization. Besides the image evidence, the energy function takes into account
physical constraints, such as target dynamics, mutual exclusion, and track persistence. In addition, partial image evidence is handled
with explicit occlusion reasoning, and different targets are disambiguated with an appearance model. To nevertheless find strong local
minima of the proposed nonconvex energy, we construct a suitable optimization scheme that alternates between continuous conj
energy. Contrary to recent approaches, we focus on designing an energy that corresponds to a more complete representation of the
problem, rather than one that is amenable to global optimization. Besides the image evidence, the energy function takes into account
physical constraints, such as target dynamics, mutual exclusion, and track persistence. In addition, partial image evidence is handled
with explicit occlusion reasoning, and different targets are disambiguated with an appearance model. To nevertheless find strong local
minima of the proposed nonconvex energy, we construct a suitable optimization scheme that alternates between continuous conj
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