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Robust and real-time object tracking of any objects is a challenging task. Particle filtering has been proven very successful for non-gaussian and non-linear estimation problems. This paper describes a new approach to improve the moving object tracking system with particle filter using shape similarity. The shape similarity between a template and estimated regions in the video sequences can be measured...
According to the different color information of the different component in Hue-Saturation-Intensity color model, combining and ameliorating several basal arithmetics, we present a new method based on both shape and color information of the moving object. Experiments show the effectivity and feasibility of the method. And it also shows good anti-jamming quality in all experiments. Though our method...
Traditional mean shift algorithm requires a symmetrical kernel, such as a circle or an ellipse, and assumes the kernel represents the object shape. Because the symmetrical kernel always contains some background regions, the performance of moving object tracking is dramatically affected when background is complex and changes greatly. To address above issue, this paper proposes an improved mean shift...
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