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Description: 基于在线特征学习机制的跟踪算法，本论文拟实现一个基于boosting的分类器在线学习算法，并将之应用于视觉目标跟踪。-Online learning mechanism based on the characteristics of the tracking algorithm, this paper intends to achieve a classifier based on boosting online learning algorithm, and applied to the visual target tracking.
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Size: 9282560 |
Author: 陈霄恒 |
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Description: 在计算机视觉的应用中，对于检测和识别任务boosting算法是一个很流行的算法。对比于非在线算法，在线的boosting算法可以更好的适应实时跟踪的应用。-In computer vision applications, for the detection and identification tasks boosting algorithm is a very popular algorithm. Contrast to non-online algorithm, online boosting algorithm can better adapt to real-time tracking applications.
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Size: 852992 |
Author: 陈霄恒 |
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Description: 鲁棒人脸跟踪系统学位论文；提出了一种两阶段的光照均衡的方法来消除单幅图像中的各种阴影包括模糊阴影，投射阴影等 根据快速的Adaboost 训练框架，本文提出了一个实时的鲁棒人脸检测算法 提出了一种基于在线实值boosting 的方法来处理人脸在跟踪过程中发生的外貌变化；实现了一个基于以上模块的完全自动化的人脸跟踪器-Robust Face Tracking System dissertation proposes a two-stage light-balanced approach to the elimination of single image in a variety of shadow including fuzzy shadow, projected shadow, etc. Under the fast-track the Adaboost training framework, this paper presents a real-time Robust Face Detection Algorithm Based on boosting online real ways to deal with people face in tracking occurred during the appearance of change the realization of a module based on the above fully automated face tracker
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Size: 1139712 |
Author: 田卉 |
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Description: online boosting online boosting
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Size: 4376576 |
Author: 张伟 |
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