搜索资源列表
GCmex2.tar
- edison wrapper: very excellent for detection object
Trajectory-tracking-from-detector
- The files written out by the detection process are used as input for the tracker to infer trajectories of each object. The tracker needs to deal with different scenarios
2
- 本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good
3
- 本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good
4
- 本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good
5
- 本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good
poselets_matlab_april2013
- 人体检测很热的算法，poselet，同时可以应用到一般物体的检测-The code of the algorithm based on poselet, which is very useful. Meanwhile,it can be used for detection of generic object.
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
BlobAnalysisPackage_DG
- this file is an algorithm of blob methodology.. mostly used for object or skid detection.-this file is an algorithm of blob methodology.. mostly used for object or skid detection.
objectdet
- Viola Jones 的目标检测程序，虽然人脸检测已经发展了近十年，但是还有不少学者研究人脸检测。此程序是通过邮件从KTH皇家技术学院的Vahid Kazemi要到的。特意共享出来。-Viola Jones Object Detector ，which can finish adaboost face detection
abs
- a new automatic target detection (ATD) algorithm to detect targets such as military targets, vehicle detection, oil storeroom detection. This algorithm uses concentric circles to extract features of object and the features are quasi invariant to tar
TextonBoost-Joint-Appearance--Shape-and-Context.r
- The paper investigates the problem of achieving automatic detection, recognition and segmentation of object classes in photographs . N amely, given an image the system is expected to automatically partiti on the image into semanticall
Fast-Tracking
- “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
codingjimi1
- Edge detection that detect the side of object
darknet
- 神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection fr
CPPADA
- C+++视频cvncvb监控系统,根据支持向量机的特征提取对视频中的物体进行检测识别-C++ video cvbcvb monitoring system, according to the support vector machine to extract the characteristics of the object in the video detection and identification
detectcar
- Matlab code for object recognization - Detection of car in a video clip
multiObjectTracking
- 在静态背景下，提取运动物体(前景检测）并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)