IEEE Trans Image Process - Object tracking and target reacquisition based on 3-D range data for moving vehicles.

Tópicos

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Resumo

In this paper, we propose an approach for tracking an object of interest based on 3-D range data. We employ particle filtering and active contours to simultaneously estimate the global motion of the object and its local deformations. The proposed algorithm takes advantage of range information to deal with the challenging (but common) situation in which the tracked object disappears from the image domain entirely and reappears later. To cope with this problem, a method based on principle component analysis (PCA) of shape information is proposed. In the proposed method, if the target disappears out of frame, shape similarity energy is used to detect target candidates that match a template shape learned online from previously observed frames. Thus, we require no a priori knowledge of the target's shape. Experimental results show the practical applicability and robustness of the proposed algorithm in realistic tracking scenarios.

Resumo Limpo

paper propos approach track object interest base d rang data employ particl filter activ contour simultan estim global motion object local deform propos algorithm take advantag rang inform deal challeng common situat track object disappear imag domain entir reappear later cope problem method base principl compon analysi pca shape inform propos propos method target disappear frame shape similar energi use detect target candid match templat shape learn onlin previous observ frame thus requir priori knowledg target shape experiment result show practic applic robust propos algorithm realist track scenario

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