ऑब्जेक्ट ट्रैकिंग Archives — MATLAB Number ONE

Real-time Object Tracking via Online Discriminative Feature Selection

global MATLAB — Mon, 07 May 2018 11:41:33 +0000

Most tracking-by-detection algorithms train discriminative classifiers to separate target objects from their surrounding background. In this setting, noisy samples are likely to be included when they are not properly sampled, thereby causing visual drift. The multiple instance learning (MIL) paradigm has been recently applied to alleviate this problem. However, important prior information of instance labels and the most correct positive instance (i.e., […]

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Robust object tracking using joint color-texture histogram

global MATLAB — Mon, 16 Apr 2018 13:32:18 +0000

LBP operator is an effective tool to measure the spatial structure of local image texture. To reduce the computational cost and improve the robustness of target representation, we proposed a joint color and LBP texture based mean shift tracking algorithm in this paper. A mask of the target is formed based on its five major uniform LBPriu2 8,1 texture patterns […]

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Scale and orientation adaptive mean shift tracking

global MATLAB — Mon, 16 Apr 2018 12:41:16 +0000

By analyzing the moment features of the weight image of the target candidate region and the Bhattacharyya coefficients, we developed a scale and orientation adaptive mean shift tracking (SOAMST) algorithm. It can well solve the problem of how to estimate robustly the scale and orientation changes of the target under the mean shift tracking framework. The weight of […]

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