搜索资源列表
track.zip
- matlab tracking source code to track a moving object on the scene by using centroid and rectangle method,matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
stk
- matlab控制利用stk进行实时仿真的连接指令以及一个stk现成的场景仿真-matlab control simulation using real-time connection stk instruction and a ready-made scene simulation stk
LKTK
- Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D s
Digital_PID
- Matlab连续系统的数字PID控制程序，可实现A/D，D/A功能，符合现场实际情况。-Matlab figure for PID control system procedures, can be A/D, D/A functions, in line with the actual situation at the scene.
shuangmushijue
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-The 3-D reconstruction technology of computer vision is a significant field of computer vision ,and binocular stereo vision is a very important technique in 3-D
GetObjectByDisAndGray
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
xingrengenzong
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
elevator
- 实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。-The actual scene, if the m
BackgroundSubtractionReview-Piccardi
- given a frame sequence from a fixed camera, detecting all the foreground objects : the detection of the foreground objects is obtained by the difference between the current frame and an image of the scene’s static background
scene
- 基于matlab平台的人造目标的SAR回波数据，是本人历经一个学期辛苦编制，基于光学法成像，对于没有实测数据的兄弟们，希望有所帮助-SAR raw data simulator
CPCP
- 覆盖保存是WSN的一个基本质量要求。选择一个最佳的簇头，以满足长时间的监视区域的完全覆盖。使用覆盖意识的方法来选择簇头，而不是基于能量的方法，可以增加场景有效时间。-WSN coverage preservation is a basic quality requirements. Choose one of the best cluster head in order to meet long surveillance area completely covered. Awareness of
matlab-file
- 该代码是RFID室内定位的VIRE算法，程序中包含待测点定位场景仿真以及各点的误差。-The code is RFID indoor positioning VIRE algorithm, contained in the program for spotting scene simulation, and the error of each point.
scene
- content based image retri for functioning with matlab java visual studio -content based image retri for functioning with matlab java visual studio
MATLAB
- 基于MATLAB对特定的图像进行旋转校正，用来处理各种所需要提取的场面。- 基于MATLAB对特定的图像进行旋转校正，用来处理各种所需要提取的场面。 基于MATLAB对特定的图像进行旋转校正，用来处理各种所需要提取的场面。 MATLAB based image rotation correction of specific, used to treat the
MLkNN
- ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
A Fast Single Image Haze Removal Algorithm
- Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image. By creating a linear model for modeling
src
- 完整的无线通信系统，针对高速移动场景下的多普勒频移，采用同步模块减少频移的干扰(The complete wireless communication system uses the synchronization module to reduce the interference of the frequency shift in view of the Doppler frequency shift in the high-speed mobile scene)
brazilian_coffee_dataset
- brazilian coffee scene 数据集(brazilian coffee scene dataset)
发给各中心通知
- CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representation to describe the image