IEEE Trans Image Process - Active contour-based visual tracking by integrating colors, shapes, and motions.

Tópicos

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Resumo

In this paper, we present a framework for active contour-based visual tracking using level sets. The main components of our framework include contour-based tracking initialization, color-based contour evolution, adaptive shape-based contour evolution for non-periodic motions, dynamic shape-based contour evolution for periodic motions, and the handling of abrupt motions. For the initialization of contour-based tracking, we develop an optical flow-based algorithm for automatically initializing contours at the first frame. For the color-based contour evolution, Markov random field theory is used to measure correlations between values of neighboring pixels for posterior probability estimation. For adaptive shape-based contour evolution, the global shape information and the local color information are combined to hierarchically evolve the contour, and a flexible shape updating model is constructed. For the dynamic shape-based contour evolution, a shape mode transition matrix is learnt to characterize the temporal correlations of object shapes. For the handling of abrupt motions, particle swarm optimization is adopted to capture the global motion which is applied to the contour in the current frame to produce an initial contour in the next frame.

Resumo Limpo

paper present framework activ contourbas visual track use level set main compon framework includ contourbas track initi colorbas contour evolut adapt shapebas contour evolut nonperiod motion dynam shapebas contour evolut period motion handl abrupt motion initi contourbas track develop optic flowbas algorithm automat initi contour first frame colorbas contour evolut markov random field theori use measur correl valu neighbor pixel posterior probabl estim adapt shapebas contour evolut global shape inform local color inform combin hierarch evolv contour flexibl shape updat model construct dynam shapebas contour evolut shape mode transit matrix learnt character tempor correl object shape handl abrupt motion particl swarm optim adopt captur global motion appli contour current frame produc initi contour next frame

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