Description: 本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法。 它以一种改进的自适应
混合高斯模型为背景更新方法，用连通区检测算法分割出前景目标，以 Kalman滤波为运动模型实现对运动目标的连续跟踪。在目标跟踪时，该算法针对目标遮挡引起的各种可能情况.-In this paper, a stationary camera under the conditions of the moving target detection and tracking algorithm. It is an improved adaptive mixed-Gaussian model for the background update method, connected areas of the prospect of partition detection algorithm targets to Kalman filtering model for the movement to realize the continuous tracking of moving targets. In target tracking, the algorithm for the target occlusion caused by a variety of possible scenarios. Platform: |
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Author:Jenifer |
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Description: 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，-Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction, Platform: |
Size: 3947520 |
Author:kaka |
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Description: 利用混合高斯模型进行前景检测的源代码实现，依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mixture models for real-time tracking. Platform: |
Size: 5120 |
Author:connie |
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Description: !本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法,它以一种改进的自适应混合高
斯模型为背景更新方法-用连通区检测算法分割出前景目标-以./01/2滤波为运动模型实现对运动目标的
连续跟踪-! This paper, a stationary camera for moving target detection and tracking algorithm, based on a modified adaptive Gaussian mixture model for the background updating- with Components of the segment the foreground object detection algorithm- to ./01/2 filter for the motion model to achieve continuous tracking of the moving target Platform: |
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Author:xxx |
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Description: 提出了一种改进直方图映射和均值移位结合的目标跟踪算法，根据目标模型各成分直方图比例系数建立索引表，索引号为颜色值，索引内容为颜色对应的归一化目标模型直方图，在索引表中查询输入图像颜色值构建反映目标出现概率灰度图；均值移位算法在生成灰度图中快速定位目标位置。对比实验结果表明，改进的直方图映射算法从根本上抑止模型背景干扰，均值移位算法准确定位目标；系统能实时准确跟踪运动目标。-An improved histogram mapping and integration of the mean shift tracking algorithm, according to the target model histogram of the ratio coefficient of each component index tables, index number for the color value, index the content for the color corresponding to the normalized histogram of target model , in the index table query input image color value for establishing the probability of targets grayscale mean shift algorithm to generate grayscale quickly locate the target location. Comparison of experimental results show that the improved histogram mapping algorithm fundamentally suppress background interference model, the mean shift algorithm for accurate targeting system is able to accurately track moving objects. Platform: |
Size: 212992 |
Author:wy |
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Description: 《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly related to content of the
video. However, the developed systems are still too slow for a broad application of
the technique. To increase the accessibility of direct manipulation a system has to
fulfill certain requirements:
• Computation times have to be so small that the system can work in situation
with time constraints.
• The system has to accommodate for the user’s greater comprehension of a
scene. This includes camera motion, fore- and background, and occlusions.
Based on the requirements, we developed and implemented the DRAGONEYE system.
The tracker employs point tracking, with points provided by SIFT [Lowe,
2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A
model of the tracked object is built and continuously updated to fit the current conditions.
This model allows the detection and recover Platform: |
Size: 38917120 |
Author:童癸 |
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Description: 基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the background. Platform: |
Size: 586752 |
Author:廖家亮 |
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Description: 两篇关于目标检测、跟踪的硕士论文，里面有关于多高斯背景模型的描述，作为学习，不错的资源-Two on target detection, tracking, master' s thesis, which has more than Gaussian background model for the description, as a learning, a good resource Platform: |
Size: 13452288 |
Author:郑蕊 |
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Description: 室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感
器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征，结合均值漂移
算法与水平集曲线演化实现目标定位，并给出了目标尺度和模板更新方法；对多目标跟踪的互相遮挡问题，通过判
断目标合并与分离实现遮挡时多个目标的定位。实验结果表明，该文方法能够有效处理光照变化、阴影、遮挡等情
况，实现目标的稳定跟踪。-Considering the poor stability of the video object tracking methods in outdoor scenes when the
background circumstance variation in object images occurs, a new method is presented for object tracking based on
infrared and visible dual-channel video. It extracts the Hue, Saturation, Value (HSV) color feature in visible image
and the contour feature in infrared image, and combines the Mean Shift (MS) algorithm and the level set evolution
algorithm to realize object location, also, the object scalar and model update mechanism is presented. To address
the multiple object occlusion problems, a method is presented to locate multiple objects by determining the object
merger and separation. Experimental results on infrared and visible dual-channel video demonstrate that the
proposed method can successfully cope with the cases in complex environment such as illumination changes,
shadow, occlusion, etc.. Platform: |
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Author:majun |
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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: 自适应背景混合模型用于目标的实时追踪，介绍了目标追踪的新方法-Real-time adaptive background mixture model for tracking targets, introduced a new method of target tracking Platform: |
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Author:lihao |
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Description: a novel algorithm for fast tracking of generic objects in videos. The algorithm uses two components: a detector that makes use of the generalised Hough transform with pixel-based descriptors, and a probabilistic segmentation method based on global models for foreground and background. These components are used for tracking in a combined way, and they adapt each other in a co-training manner.
Through effective model adaptation and segmentation, the algorithm is able to track objects that undergo rigid and non-rigid deformations and considerable shape and appearance variations.
The proposed tracking method has been thoroughly evaluated on challenging standard videos, and outperforms state-of-the-art tracking methods designed for the same task. Finally, the proposed models allow for an extremely efficient implementation, and thus tracking is very fast. Platform: |
Size: 66560 |
Author:李文博 |
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Description: ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-Moving object segmentation based on background modeling is an important task of intelligent video surveillance, quality models directly affects the detection, tracking, recognition accuracy motion analysis. The current modeling methods are mostly single, ignoring the characteristics of pixels on the temporal and spatial linkages, model description is not accurate enough, the background disturbances, global illumination changes and complex indoor and outdoor scenes and other conditions are not robust strong, leading to a hollow-point division and noise appear. To solve these problems presents a double-modeling method, the pixel brightness feature extraction using time domain modeling codebook in the first layer, the second layer of texture feature extraction using neighborhood center symmetric local binary pattern based construction mode. Experiments show that the method used for motion segmentation when compared with the conventional method has better accuracy and robustness.
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Author: |
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Description: 背景建模是实现运动目标检测与跟踪任务的关键技术之一, 背景模型的鲁棒性问题受到普遍关注. 本文针对背景建模所依赖的不同信息特征, 从实际应用和样本集形态两个方面分析了背景模型的鲁棒性需求. 根据不同信息的描述和处理的特点综述了背景建模的典型算法, 并考察其对鲁棒性需求的处理策略. 然后就不同层次信息的描述及其鲁棒性, 比较了典型背景建模系统, 并分析了背景建模技术的发展趋势.-Background modeling is a key technology to achieve moving target detection and tracking tasks, robustness issues of general concern background model paper for background modeling features rely on different information, from practical application form and two sample sets analyze the robustness of the demand for background model. according to the characteristics described and summarized the different information processing typical background modeling algorithm and investigate its handling strategy for robust demand. then describe the different levels of information and Lu stick resistance, the system compares the typical background modeling and analyzes the development trend of background modeling technology.
Platform: |
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Author: |
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Description: Tracking moving objects in video sequence is an important
problem in computer vision, with applications several
fields, such as video surveillance and target tracking. Most
techniques reported in the literature use background subtraction
techniques to obtain foreground objects, and apply
shadow detection algorithms exploring spectral information
of the images to retrieve only valid moving objects.
In this paper, we propose a small improvement to an existing
background model, and incorporate a novel technique for
shadow detection in grayscale video sequences. The proposed
algorithm works well for both indoor and outdoor
sequences, and does not require the use of color cameras Platform: |
Size: 475136 |
Author:NADDU |
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Description: 初步尝试使用单高斯模型进行背景建模与跟踪提取，采用形态学方法，对于背景单一的场景，提取效果还可以。(Preliminary attempts are made to use single Gauss model for background modeling and tracking extraction. Morphological method is used to extract the effect from a single scene.) Platform: |
Size: 1024 |
Author:miaochengshi
|
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Description: Focusing on the failure under the condition of target blocking, the similarity between
target color and background color for the Camshift algorithm, an improved algorithm
based on Camshift algorithm is proposed. Gaussian mixture model is used to
determine the tracking area fast and accurately because it is not sensitive to the external
conditions such as light and shadow. Platform: |
Size: 432128 |
Author:bouch |
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Search - background model for tracking