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[matlabkaerman

Description: 卡尔曼滤波器实现的视频目标跟踪程序,对于理解该滤波器有重要作用-Calman filter implementation of the video target tracking process, for the understanding of the filter has an important role
Platform: | Size: 226304 | Author: vip2 | Hits:

[Software EngineeringdetectAndTrackFaces

Description: This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time-This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time
Platform: | Size: 4096 | Author: hamid | Hits:

[Software EngineeringObject__Tracking

Description: This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time-This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time
Platform: | Size: 9216 | Author: hamid | Hits:

[Othertrack

Description: 【highspeedlogic】matlab代做,基于高斯混合算法的视频目标跟踪算法的仿真-[matlab] highspeedlogic generation to do, based on the Gauss hybrid algorithm for video target tracking algorithm simulation
Platform: | Size: 1654784 | Author: 洪依 | Hits:

[Video Capturecamshift

Description: 实现视频图像的目标快速跟踪。使用了camshift和kalman滤波算法。实时性不错,代码简单。-Video images of fast target tracking. Use the camshift and kalman filtering algorithm. Timeliness good, simple code.
Platform: | Size: 8316928 | Author: 屈伟 | Hits:

[matlabfengqai_v54

Description: 多目标跟踪的粒子滤波器,匹配追踪和正交匹配追踪,实现了图像的灰度化并进一步用于视频监视控。- Multi-target tracking particle filter, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
Platform: | Size: 5120 | Author: qaomengfie | Hits:

[Otherlunyei

Description: 基于欧几里得距离的聚类分析,实现了图像的灰度化并进一步用于视频监视控,多目标跟踪的粒子滤波器。- Clustering analysis based on Euclidean distance, Achieve a grayscale image and further control for video surveillance, Multi-target tracking particle filter.
Platform: | Size: 9216 | Author: afwyj | Hits:

[matlabqingkao_v79

Description: 实现了图像的灰度化并进一步用于视频监视控,部分实现了追踪测速迭代松弛算法,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角。- Achieve a grayscale image and further control for video surveillance, Partially achieved tracking speed iterative relaxation algorithm, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.
Platform: | Size: 5120 | Author: rgjmce | Hits:

[OtherFace-recognition

Description: 人脸识别,是基于人的脸部特征信息进行身份识别的一种生物识别技术。用摄像机或摄像头采集含有人脸的图像或视频流,并自动在图像中检测和跟踪人脸,进而对检测到的人脸进行脸部的一系列相关技术,通常也叫做人像识别、面部识别-Face recognition is based on the person' s facial features information of a biological identification technology of identification. Collection with a video camera or camera images or video streams containing human faces, and automatically detecting and tracking human faces in the image, and then the detected human face the face of a series of related technology, often called face recognition, face recognition
Platform: | Size: 3044352 | Author: 大声道 | Hits:

[MiddleWarereconig

Description: 运动目标跟踪,本程序是基于视频的运动目标跟踪,能够有效的画出运动轨迹-Moving target tracking, this procedure is based on the video moving object tracking, to draw the trajectory effectively
Platform: | Size: 18432 | Author: 王海涛 | Hits:

[Algorithmqiuhai

Description: 实现了图像的灰度化并进一步用于视频监视控,语音信号的采集与处理,数字信号处理课设,均值便宜跟踪的示例。- Achieve a grayscale image and further control for video surveillance, Acquisition and Processing of the speech signal, digital signal processing class-based, Example tracking mean cheap.
Platform: | Size: 8192 | Author: dunhcagw | Hits:

[Software EngineeringBackground-separation

Description: 高斯处理视频并跟踪运动做前景背景分割,可用来做前背景分离,分离出运动物体,达到抠图的效果-Gauss video processing and tracking moving foreground background segmentation, can be used to do before the separation, separation of a moving object, to achieve the effect of Gauss matting video processing and tracking moving foreground background segmentation, can be used to do before the separation, separation of a moving object, achieve the matting effect
Platform: | Size: 4081664 | Author: 图图 | Hits:

[OpenCVkalmanfilter

Description: 代码实现的kalmanm 滤波跟踪的功能,所用视频源是通过读取摄像头获取的,跟踪速度能够达到实时的目标跟踪,对于单目标跟踪效果很好-Code to achieve the function of the kalmanm filter tracking, the video source is obtained by reading the camera, tracking speed to achieve real-time target tracking, for a single target tracking effect is very good
Platform: | Size: 9249792 | Author: 伏项禹 | Hits:

[matlabqengyui

Description: 采用加权网络中节点强度和权重都是幂率分布的模型,均值便宜跟踪的示例,实现了图像的灰度化并进一步用于视频监视控。- Using weighted model nodes in the network strength and weight are power law distribution, Example tracking mean cheap, Achieve a grayscale image and further control for video surveillance.
Platform: | Size: 10240 | Author: 姚渤明 | Hits:

[Algorithmqiuqang

Description: 多目标跟踪的粒子滤波器,实现了图像的灰度化并进一步用于视频监视控,进行逐步线性回归。- Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance, Stepwise linear regression.
Platform: | Size: 5120 | Author: 高全波 | Hits:

[AI-NN-PREcho-state-network

Description: Read virtually any media file in Windows, Linux, or Mac. The model simulates streamflow precipitation and temperature data. Tracking an object in a video with a Color Particle Filter Use MATLAB to acquire sensor data built-in sensors on your Android device. -Read virtually any media file in Windows, Linux, or Mac. The model simulates streamflow precipitation and temperature data. Tracking an object in a video with a Color Particle Filter Use MATLAB to acquire sensor data built-in sensors on your Android device.
Platform: | Size: 1097728 | Author: Sina | Hits:

[Special Effectsdongtairenlianjiance

Description: 实现视频动态人脸的检测跟踪,利用simulink完成。-Achieve dynamic video face detection and tracking using simulink complete.
Platform: | Size: 2560000 | Author: 王春水 | Hits:

[Special Effectsmad_vid

Description: 基于Matlab的MAD图像匹配算法,可以采集摄像头的图像进行匹配跟踪。-MAD image matching algorithm based on Matlab , you can capture video head image to matching and tracking.
Platform: | Size: 1024 | Author: Tangyao | Hits:

[Graph programUntitled2

Description: 基于帧间差分的单目标/多目标的实时跟踪程序,基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2014 The MathWorks, Inc. Detection of moving objects and motion-based tracking are important components of many computer vision applications, including activity recognition, traffic monitoring, and automotive safety. The problem of motion-based object tracking can be divided into two parts: # detecting moving objects in each frame # associating the detections corresponding to the same object over time The detection of moving objects uses a background subtraction algorithm based on Gaussian mixture models. Morphological operations are applied to the resulting foreground mask to eliminate noise. Finally, blob analysis detects groups of connected pixels, which are likely to correspond to moving objects. The association of detections to the same object is based solely on motion. The mo
Platform: | Size: 1024 | Author: | Hits:

[OS programkovingsequences

Description: Using the AVICap class, according to the features of moving target on input tracking moving objects in video sequences
Platform: | Size: 14336 | Author: metwod | Hits:
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