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Visual Tracking is often hindered by difficulties such as occlusion, abrupt motion and out of view problems. Motivated by the wide range of existing features, search mechanisms and target representations, a cooperation strategy between Bayesian tracking and matching by the Binary Robust Invariant Scalable Key-points (BRISK) is devised in this paper. The Bayesian tracker is considered as the main tracker,...
Making visual features/trackers cooperate together allows to benefit from the complementary of different features and explores the merits of each individual tracker, which increases the robustness of video tracking. In this paper, two trackers are made in cooperation. The main tracker is based on particle filter and uses a visual model combining color and gradient orientations as the target representation,...
Color histogram is an important visual cue for tracking targets of interest in video sequences. However, tracking using color is prone to errors due to: (i) background clutter (neighborhood regions having similar appearance with the target) and/or (ii) the target enters a shadowy areas. To overcome these two limitations; a tracker combining color and foreground mask is presented in this paper. The...
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