Description: This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved. Platform: |
Size: 2122036 |
Author:harleych |
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Description: 一种通过单镜头摄像机来实现行人计数的方法，全英文。-A single-lens camera to achieve pedestrian counting method, all in English. Platform: |
Size: 689152 |
Author:jacky1 |
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Description: 利用opencv作出的face counting,可以計算出影片中行人的臉出現次數~-Using opencv made face counting, the film can be calculated the number of pedestrian' s face ~ Platform: |
Size: 3358720 |
Author:esprit1203 |
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Description: 视频图像的人群密度检测，多种人群密度场景下人群计数算法：
算法功能:建立图像特征和图像人数的数学关系
算法输入:训练样本图像1,2…K
算法输出:模型估计参数 ，参考图像
算法流程：1)对训练样本图像进行分块处理(算法1.1)；
2)通过算法1.2，计算训练样本各个对应分块的ALBP特征归一化，再用K-means算法(可使用opencv等算法库实现，不再描述其算法)，将图像块分成k(k<K)类，获取k(k<K)个聚类中心，即为参考图像；
3)对分块的图像进行与参考图像进行匹配。使用算法1.2求取ALBP特征，并求取其相似度 ，将相似性集合作为新特征并形成一个归一化的新特征 。
4)按照行人面积占图像块面积的比例，以60 为分界，分布采用径向基核函数 和线性核函数 。K(xi,x)建立图像特征和图像人数的SVR(支持向量回归机)模型可使用opencv中的SVM或libsvm，输出模型估计参数 。
-Population density detection of video images, a variety of crowd density scenes crowd counting algorithm:
Algorithm functions: a mathematical relation between the image features and the number of images
Algorithm Input: training sample image 1,2 ... K
Algorithm output: model estimation parameters, reference image
Algorithmic process: 1) the training sample image into blocks (algorithm 1.1)
2) by 1.2 algorithm to calculate the corresponding training samples of each block ALBP features normalized, then K-means algorithm (algorithm can be used opencv library implementation, no longer describe the algorithm), the image block is divided into k (k <K) class, gets k (k <K) clustering centers, namely the reference image
3) conduct of image block matching with the reference image. 1.2 ALBP characterized using an algorithm to strike, and strike the similarity, the similarity of a set of new features and forming a normalized new features.
4) pedestrian area accounted for in Platform: |
Size: 4759552 |
Author:徐云华 |
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Description: 基于Opencv的行人视频检测的代码，可以实现计数的功能-Video-based pedestrian detection code Opencv can realize the function of counting Platform: |
Size: 394240 |
Author:小郑 |
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Description: 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子。它通过计算和统计图像局部区域的梯度方向直方图来构成特征。Hog特征结合SVM分类器已经被广泛应用于图像识别中，尤其在行人检测中获得了极大的成功。需要提醒的是，HOG+SVM进行行人检测的方法是法国研究人员Dalal在2005的CVPR上提出的，而如今虽然有很多行人检测算法不断提出，但基本都是以HOG+SVM的思路为主(The Histogram of Oriented Gradient (HOG) feature is a feature descriptor for object detection in computer vision and image processing. It constructs features by computing and counting histograms of gradient directions in local regions of images. Hog features and SVM classifier have been widely used in image recognition, especially in pedestrian detection. It needs to be reminded that the method of pedestrian detection by HOG+SVM is proposed by French researcher Dalal on 2005 of CVPR, and although many pedestrian detection algorithms are constantly proposed, it is mainly based on the idea of HOG+SVM.) Platform: |
Size: 162816 |
Author:赵阿敏 |
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