Three Dimensional Motion Trail Model for Gesture Recognition. This code is developed for the work: Bin Liang, Lihong Zheng "Three Dimensional Motion Trail Model for Gesture Recognition," ICCV 2013 Workshop - Big Data in 3D Computer Vision Workshop. In case of publication with this code, please cite the paper above. Dataset: MSR Action3D dataset HOW to use: (1) Two SVM files can be generated after running the program, namely "TR_Gestures.svm" and "TE_Gestures.svm"; (2) "TR_Gestures.svm" and "TE_Gestures.svm" are used as inputs for LIBSVM. The commands are: a. ## data scale svm-scale.exe -l -1 -u 1 -s t_range TR_Gestures.svm > TR_Gestures.svm.scale svm-scale.exe -r t_range TE_Gestures.svm > TE_Gestures.svm.scale b. ## find out the best C and gamma for the SVM model python.exe grid.py TR_Gestures.svm.scale c. ## train model svm-train.exe -c [best C] -g [bset gamma] TR_Gestures.svm.scale d. ## predict using trained model svm-predict.exe TE_Gestures.svm.scale TR_Gestures.svm.scale.model TE_Gestures.svm.predict
drbinliang/3DMTM
This code is developed for the work "Three Dimensional Motion Trail Model for Gesture Recognition"
Java