Description: 利用sift算法，对运动图像进行运动轨迹的识别，先进行高速模糊，背景相减，在进行特征提取-Sift algorithm, the identification of trajectories of moving images, the first high-speed blur, background subtraction, during the feature extraction Platform: |
Size: 6811648 |
Author:xuguoqi |
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Description: 通过一个图像序列来创建背景图像，用于背景差分-Through an image sequence to create a background image for the background subtraction Platform: |
Size: 1024 |
Author:huang |
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Description: 利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in the road. It has a better result. Platform: |
Size: 10721280 |
Author:孙新荣 |
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Description: 适用于复杂背景下的差减法！效果还行！是一个难得的程序，与大家分享哈！-For complex background by subtraction! The results were OK!Is a unique program to share with you! Platform: |
Size: 2048 |
Author:师洪德 |
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Description: 使用背景差分法，采用了高斯滤波法对其进行平滑，然后将视频的第一帧作为背景，其次，对去噪后的图像做帧与背景间的差分运算，再利用阈值分割，将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential expression between the frame and the background of the denoised image, and then use the threshold segmentation, themoving target is extracted from the background Platform: |
Size: 962560 |
Author:rlshe |
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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: 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: This m-file implements the mixture of Gaussians algorithm for background subtraction.-This m-file implements the mixture of Gaussians algorithm for background subtraction. Platform: |
Size: 2048 |
Author:Nargis |
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Description: 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for the segmentation of moving vehicles and shadow elimination.Proposed the concept of the vehicle shape of the projected amount of video vehicle two-dimensional shape information reduced to a one-dimensional, and design of two-dimensional input fuzzy classifier, according to the shape of the projection volume and high car, car length, complete models of the many types of fine recognition.
Platform: |
Size: 657408 |
Author:周亚婷 |
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