搜索资源列表
-
0下载：
Demo of the background/foreground detection algorithm
-
-
0下载：
backgroungd foreground detection
-
-
1下载：
针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架，建立了一个由人机交互界面模块；运动物体的前景检测模块；运动物体的团块特征检测模块；运动物体的团块跟踪模块轨迹生成模块；轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting，tracking and marking multipule specific targets in complex
background．We use the ba
-
-
0下载：
智能视频监控运动目标检测,检测目标运动，前景和背景区分-Moving object detection, intelligent video surveillance, detection of target motion, foreground and background distinguish
-
-
0下载：
智能视频监控运动目标检测,检测目标运动，前景和背景区分-Moving object detection, intelligent video surveillance, detection of target motion, foreground and background distinguish
-
-
0下载：
基于Opencv的视频序列前景检测模块，可以用来检测自动化目标跟踪的初始位置-Opencv based video sequences foreground detection module,can be used to detect the initial position in automated target tracking
-
-
0下载：
三帧差法的实现，用于动态目标检测，分出背景和前景-Three implementation of frame differential method for dynamic target detection, the background and foreground
-
-
0下载：
ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，图像特征提取，(ViBe is a pixel level video background modeling or foreground detection algorithm is better than several well-known algorithms, hardware memory footprint, image feature extraction)
-
-
0下载：
目标检测，对包含动态背景信息的监控视频，设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
-
-
0下载：
对包含动态背景信息的监控视频，设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
-
-
0下载：
通过背景差分法获取运动目标检测，提取前景目标，转化成二值图(The moving target detection is obtained by the background difference method, and the foreground object is extracted and transformed into a two value graph.)
-
-
0下载：
optic disk citra fundus menggunakan matlab
-
-
0下载：
In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is dev
-
-
0下载：
现有的显着性检测方法使用图像作为输入，并且对前景/背景相似性，复杂背景纹理和遮挡敏感。我们探讨了使用光场作为显着性检测的输入的问题。(Existing saliency detection approaches use images as in-puts and are sensitive to foreground/background similari-ties, complex background textures, and occlusions. We ex-plore the pro
-
-
0下载：
全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
-
-
0下载：
该程序是用混合高斯建模+卡尔曼滤波实现，结果依赖于前景检测效果，结果效果较好，但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)
-
