Description: 外观模式 外观模式 外观模式-Model the appearance of the appearance of the appearance of model appearance model model Platform: |
Size: 84992 |
Author:崔玉征 |
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Description: 外观模式（Facade pattern）涉及到子系统的一些类。所谓子系统，是为提供一系列相关的特征（功能）而紧密关联的一组类。例如，一个Account类、Address类和CreditCard类相互关联，成为子系统的一部分，提供在线客户的特征。-Appearance model (Facade pattern) related to some type of subsystem. The so-called sub-system is to provide a range of related features (function) and a group of closely related categories. For example, an Account category, Address Class and Class CreditCard interrelated and become part of subsystem to provide online customer characteristics. Platform: |
Size: 79872 |
Author:赵云峰 |
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Description: AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc. -AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc. Platform: |
Size: 67584 |
Author:liyi |
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Description: 提出一种人体运动跟踪算法,从无关节标记的单目视频中获取人体运动1 利用一个带外观模板的人体关节
模型,通过学习得到的运动模型及基于外观模型的相似性计算,巧妙地利用粒子滤波的概率密度传播策略鲁棒地跟
踪普通单目视频中的人体运动1 当出现跟踪丢失时,能在后续序列中自动恢复正确跟踪,且能较好地处理遮挡和自
遮挡问题1 实验表明,该算法鲁棒性好,跟踪结果令人满意- In this paper , a novel approach is proposed for t racking markerless human motion in monocular
videos to capture the articulate motion data1 With an articulated human model const ructed , the new ap2
proach uses the probability density propagation of the particle filters through the learnt motion model and
likelihood computing with the appearance models to t rack the human motion1 The method is capable of auto2
matically recovering f rom t racking failures1 It can also process the occlusion and auto2occlusion problem cor2
rectly1 Experimental result s f rom real monocular videos show that the new approach is robust and the t rack2
ing result s are satisfactory1 Platform: |
Size: 355328 |
Author:丁行 |
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Description: active shape model .. there is an example to understand .. this is a source from the internet Platform: |
Size: 1866752 |
Author:nirup |
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Description: A ct ive shape models (A SM ) , consist ing of a
shape model and a local gray2level appearance model, can
be used to locate the objects in images. In o riginal A SM
scheme, the model of object′s gray2level variat ions is
based on the assump t ion of one2dimensional samp ling and
search ing method. In th is wo rk a new w ay to model the
gray2level appearance of the objects is exp lo red, using a
two2dimensional samp ling and search ing technique in a
rectangular area around each landmark of object shape. Platform: |
Size: 231424 |
Author:天使 |
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Description: Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural networks Q function approximation. As the use of simulated annealing, the car will start when the regular crash barrier, 10 times the fundamental will no longer hit. The appearance model used car " w198406141" in this forum area of virtual reality VR model release. Platform: |
Size: 12288 |
Author:gao |
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Description: 这是一个对AAM（主动外观模型）和ASM（主动形状模型）两个库的介绍。-This is an AAM (Active Appearance Model) and ASM (active shape model) description of the two libraries. Platform: |
Size: 632832 |
Author:黄知 |
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Description: 一个实时的2维人体检测跟踪算法，是opencv源码里参考的文章之一。内容包括表面模型建立，新目标检测以及匹配的问题。-A Real-Time System for Detecting and
Tracking People in 2D, is one of the references in opencv, including the appearance model, new object detect and how to find the corresponding one. Platform: |
Size: 2430976 |
Author:420906189 |
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Description: This
system consists of human detection, human tracking
and false object detection. The human detection
utilizes the background subtraction to segment the
blob and use codebook to classify human being from
other objects. The optimal design algorithm of the
codebook is proposed. The tracking is performed at
two levels: human classification and individual
tracking .The color histogram of human body is used as the appearance model to track individuals. In order to reduce the false alarm, the algorithms of the false object detection are also provided. Platform: |
Size: 6532096 |
Author:ahmed |
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Description: 色貌模型的电子书籍。对于从事多媒体处理相关的朋友以及颜色建模等方面的研究会大有帮助。-Color appearance model of e-books. For related friends engaged in multimedia processing, and color modeling research will be of great help. Platform: |
Size: 4259840 |
Author:元十三限 |
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