Taget_Detcetion_tracking

所属分类:图形图像处理
开发工具:matlab
文件大小:56149KB
下载次数:17
上传日期:2018-04-12 12:58:14
上 传 者水里一条猫
说明:  该项目包含特征提取,模型判别,运动建模,特征提取包含Haar-like,HOG,判别包含岭回归,SO-SVM,测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像
(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion ridge regression, SO-SVM, test datasets for 2013 Tracking-Benchmake BlasketBall manual annotation images)

文件列表:
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\aoef.txt (1, 2018-04-06)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\config.m (1994, 2018-03-13)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\configGlobalParam.m (501, 2015-10-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\GrayRawPixelExtractor.m (1636, 2015-04-12)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaar.cpp (2218, 2015-04-09)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaar.mexa64 (8148, 2015-04-10)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaar.mexw64 (8704, 2015-04-15)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaarInitial.cpp (3751, 2015-04-09)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaarInitial.mexa64 (12461, 2015-04-10)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Haar\mexHaarInitial.mexw64 (10240, 2015-04-15)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\HaarExtractor.m (1604, 2015-04-10)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Hog\fhog.m (3169, 2014-07-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Hog\gradientMex.cpp (19354, 2014-07-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Hog\gradientMex.mexa64 (23054, 2014-07-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\Hog\gradientMex.mexw64 (30720, 2014-07-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\HogExtractor.m (1627, 2015-04-03)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\HogRawPixelExtractor.m (411, 2015-04-08)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\HogRawPixelNormExtractor.m (400, 2015-04-14)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\FeatureExtractor\RawPixelExtractor.m (1668, 2015-04-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\groundtruth_rect.txt (10150, 2012-09-05)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\MotionModel\ParticleFilterMotionModel.m (1140, 2015-04-05)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\MotionModel\RadiusSlidingWindowMotionModel.m (1090, 2015-04-13)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\MotionModel\SlidingWindowMotionModel.m (1098, 2015-04-02)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\LogisticRegressionTest.m (176, 2015-03-18)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\LogisticRegressionTrain.m (1057, 2015-04-13)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\OnlineSVMTest.m (87, 2015-03-04)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\OnlineSVMTrain.m (9946, 2015-04-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\RidgeRegressionTest.m (115, 2015-03-09)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\RidgeRegressionTrain.m (996, 2015-04-13)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\Config.cpp (2058, 2015-03-25)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\Config.h (1646, 2015-03-25)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\Kernels.h (4078, 2015-04-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\LaRank.cpp (10227, 2015-04-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\LaRank.h (2754, 2015-03-25)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\make.m (171, 2015-03-25)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\mexSOSVMLearn.cpp (5663, 2015-04-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\mexSOSVMLearn.mexa64 (44354, 2015-04-17)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\mexSOSVMLearn.mexw64 (45056, 2015-10-13)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVM\Rect.h (3836, 2015-03-25)
Understanding and Diagnosing Visual Tracking Systems (ICCV2015')_code\Diagnose\ObservationModel\SOSVMTest.m (202, 2015-03-25)
... ...

This is the implementation of paper "Understanding and Diagnosing Visual Tracking Systems" (ICCV15') If you have any questions, please contact winsty@gmail.com To use the code, follow the instruction in http://visual-tracking.net/ to integrate it into the toolkit. The parameters are all set in config.m and configGlobalParam.m. Currently, it is set to the best combination without ensemble post-processor.

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