A Hand Gesture Detection for Multi Class Cascade Classifier Based on Gradient
A novel hand gesture detection method in complex background is presented in this paper,it proposed a multi class cascade structure classification based on Gentle AdaBoost (GAB) and Weighted Linear Discriminant Analysis (wLDA).The training and testing experiments are based on the sample database established myself.Histogram of Oriented Gradient (HoG) features of one pair of blocks are extracted with the random size and random locations.Finally,the trained multi class cascade structure classifier for gesture detection is tested and has effectively realized the detection with the proposed method with high detection accuracy in complex background.
gentle AdaBoost algorithm multi class cascade structure Weighted Linear Discriminant Analysis Histogram of Oriented Gradient hand gesture detection
Feng TIAN Qiu-Chen HU Tai-Ning ZHANG
School of Automation Shenyang Aerospace University Shenyang, China
国际会议
秦皇岛
英文
1364-1368
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）