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37724106Video_detection
- 人体检测识别与跟踪，运动人体步态识别，跟踪与识别，图像处理-Human detection and identification and tracking, movement of human gait identification, tracking and recognition, image processing
headDetect
- 智能监控中基于头肩特征的人体检测方法研究-Intelligent monitoring of head and shoulder features based on human detection method
detection
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法。-Image by the human eye to detect driver fatigue, driving is the main direction, face and eye location is the key link. For the weary driver Labor inspection
face_detector
- this program for detection face of human. this program developed using matlab
researchonDetectionandTrackofMovingHuman
- 本文构建了一套自动的运动人体检测跟踪原型系统，对从一台固定的数码摄 像机采集的视频图像进行处理与分析，能够检测和跟踪运动人体。该原型系统由 运动人体检测、运动人体跟踪、人群融合分离跟踪等部分构成 -This paper built an automatic detection of tracking the movement of human prototype system from a stationary digital video cameras capture the vi
blobtrack
- 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
Infrared-human-body-detection-energy-saving-lamps.
- 基于单片机的红外检测人体检测节能灯。人体感应及在床检测节能灯，无人状态下，半小时后亮度降为50 ，再半小时后关闭。-Infrared detection of the human body based on single chip testing energy-saving lamps. Human detection sensor and energy-saving lamps in the bed, no state, half an hour later reduced to 50 br
gabor_image_paper
- Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
Motion-Detection
- matlab编程，实现对视频中运动人体的检测，代码简单易懂-matlab programming, video detection of the human body in motion, the code is easy to understand
HumanDet
- 人物检测系统，涉及图像二值化、分割、形态学处理等相关图像处理方法。-People detection system, involving image binarization, segmentation, morphological processing and other related image processing methods.
Face-Eye-Detection
- 找出图像中肤色的位置，对人的皮肤所在位置进行定位-Identify the location of the image color of human skin to locate the location of
Face-Detection
- 人脸检测 可以检测出人脸部皮肤 请将图片放在text文档中运行-Face Detection can detect human facial skin, please run the picture on the text document
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
Human-detect-ion-in-video
- This paper will attempt to analyze and compare a number of different existing approaches to human detection in video. Even though there have already been a number a papers written on the topics of skin and face detection this paper will go beyo
A-real-world-system-for-human-motion-detection-an
- In this thesis we present an operational computer vision system for real-time detection and tracking of human motion. The system captures monocular video of a scene and identifies those moving objects which are characteristically human. This serves a
human-recognition
- 基于方向梯度直方图和SVM的人体检测算法论文，NH格式-Gradient direction histogram and SVM based human detection algorithm thesis, NH format
jiyuOpenCVderentiyundongjiancexitong
- 用OpenCV实现的人体运动检测系统C++源码-Using OpenCV implementation of human motion detection system, C++ source code
Human-target-tracking
- 运动检测 检测人体的头部位置、整体位置、滤除影子-Motion detection detect the body and head position, the overall position of the shadow filter
human-detection_0.1_src_2011-02-10_Idiap_shared(1
- 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
human-detect-and-track-
- 为了检测红外图像序列中的运动人体，提出了一种基于最大后验概率 （MAP）-马尔可夫随机场（MRF）模型和亮度-距离联合直方图的人体实时检测 方法。该方法首先建立图像序列时空域联合的概率分布模型，采用基于 MAP-MRF 模型的前景检测方法得到可能为人体的感兴趣区域（ROI）。然后在以 ROI 中心点 为圆心的各个圆环域中统计其亮度信息，构建基于亮度-距离联合空间的分类特 征。最后，采用支持向量机（SVM）分类器对候选区域进行分类检测。不同红外 图像序列的实验结果均表明，本