Search - mean shift

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[Industry research] KernelBasedObjectTracking DL : 0: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking.
Date : 2025-12-21 Size : 2.35mb User : Ali
[Industry research] AlgorTrackingFastMotionOb DL : 0: A paper on Algorithm for Tracking of Fast Motion Objects with Adaptive Mean Shift
Date : 2025-12-21 Size : 310kb User : Vidsocio
[Industry research] 04683346-(1) DL : 0: 这篇文章讲述了一种自适应的均值移动算法，展示了这种方法的优势之处，对研究这方面的学者会有很大的启发-An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery
Date : 2025-12-21 Size : 1.59mb User : 刘青松
[Industry research] 123455 DL : 0: 集成改进Mean Shift 和区域合并两种算法的图像分割,能得到更好的分割效果，且能在一定程度上提高遥感影像分割的自动化。-Improved Mean Shift and regional integration merge two algorithms for image segmentation, segmentation can get better results, and can improve the automation of remote sensing image segmentation to some extent.
Date : 2025-12-21 Size : 444kb User : 刘青松