Description: this 3d tr model for airplane target tracking-this is 3d tr model for airplane target tracking Platform: |
Size: 2048 |
Author:haleh |
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Description: 摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投
影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检
测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决
基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi—object tracking of traf氍c scene。how to detect the occlusion is a
key problem for vehicle
tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the
3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle
with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e-
sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve·
hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion
problem，which could not be solved with matching based method．The experimental results show that the proposed
method iS more emcient． Platform: |
Size: 296960 |
Author:christine |
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Description: We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It
was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational
awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended
Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane
assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road
curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel
machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking Platform: |
Size: 387072 |
Author:zhangjianrong |
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Description: a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 4096 |
Author:ALI |
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Description: real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 1064960 |
Author:ALI |
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Description: In this paper, we present a comparison of four novel algorithms
that have been applied to the tracking of people in
an indoor scenario. Tracking is carried out in 3D or 2D
(ground plane) to provide position information for a variety
of surveillance, HCI or meeting-support services. The
algorithms, based on background subtraction, face detection,
particle filter feature-matching and edge alignment
of a cylindrical model are described and comparative results
presented using independent test data produced and
ground-truthed for the EU CHIL project. Platform: |
Size: 235520 |
Author:Daria |
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Description: 2011年IEEE T.的A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter，请大家分享-2011 IEEE T. A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter to share Platform: |
Size: 2617344 |
Author:单昊 |
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Description: 机动目标跟踪的Matlab程序，采用当前统计模型以及三维运动目标场景-Maneuvering Target Tracking Matlab program, using the current statistical(CS) model, as well as 3D movement of the target scene Platform: |
Size: 286720 |
Author: |
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Description: 在优化粒子滤波跟踪框架下, 设计并实现了一个结合多种图像特征、在多摄像机环境下跟踪人体运动的三
维人体运动跟踪系统1 通过定义三维人体模型、摄像机模型以及观测似然模型, 得到跟踪所需目标函数, 并使用优化
粒子滤波算法进行求解1 实验结果表明, 该系统能够对人体运动进行准确的跟踪和三维重建, 可应用于体育运动分
析和动画制作等领域1-A v ideo-based 3D human body motion t racking system is developed under the optimizat ion part
icle f ilter framework, w hich combines mult iple cues in multiple cameras environment1 By def ining the 3D
body model, camera model and image likelihood model, w e can define the tracking object funct ion and resolve
it using opt imized part icle f ilter1 T he experiment s show that t racking and reconstructing result s made
by our system are accurate and effect ive1 This system can be applied to several areas such as sport ing mot ion
analysis and human animat ion1 Platform: |
Size: 679936 |
Author:cp |
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Description: 基于多幅图像序列的三维重建技术，以两幅图像的三维重建算法为基础，采用由运动
中恢复校准的结构方法，在已知摄像机参数的情况下，利用KLT特征点跟踪算法，实现了多
幅图像的三维重建，并利用集束调整优化了重建结果．-We presented a three dimensional reconstmction method based on image sequence of multiple
images． Under the condition of the known camem parameters， we used the Karhunen-Loeve Transfo珊
algorithm tracking feature to reconstmct three dimensional model based on the algorithm of reconstlllction for
two images，and also used bundle adjustment to optimize the result． The experiment shows an encoumging
result and the system is convenient，low-cost and easy to use． Platform: |
Size: 462848 |
Author:aaron |
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Description: 本仿真系统提供了一个对导弹进行精确制导打击飞行目标(F14)的仿真平台。系统首先仿真雷达获取飞行目标的飞行信息，包括飞行速度与飞行姿态；接着导弹基于飞行接近的追踪算法产生当前时刻导弹的速度与姿态；整个系统的构成包括有：F14战斗机3D模型，空空导弹3D模型；仿真雷达站。-This simulation system provides a to precision-guided missiles hit target (F14) flight simulation platform.Simulation radar system first flight target flight information, including the flight velocity and flight attitude Then missile tracking algorithm based on flying close to produce the current moment missile velocity and attitude Composition of the whole system includes: F14 fighter 3 d model of air-to-air missile 3 d model The simulation radar station. Platform: |
Size: 588800 |
Author:liangda |
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Description: 拉格朗日粒子追踪模型，适用于ROMS水动力模型的耦合运算。(The Larval TRANSport Lagrangian model (LTRANS v.2b) is an off-line particle-tracking model that runs with the stored predictions of a 3D hydrodynamic model, specifically the Regional Ocean Modeling System (ROMS).) Platform: |
Size: 100352 |
Author:sky_cape |
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