华中科技大学学报（自然科学版）2011，Vol.39Issue(z2)：88-91,4.
基于深度图像和表观特征的手势识别
Hand posture recognition using depth image and appearance feature
摘要
Abstract
A new method to quickly recognize hand posture from complex backgrounds based on depth image and appearance feature was proposed. First, hand posture region was quickly extracted from complex background via depth image. Then, appearance features were integrated to build the decision tree for hand posture recognition. Eight common postures under the complex background were tested in our experiments. The experimental results show that the recognition rate is' 98. 2 % and speed rate achieves 25 frames per second.关键词
图像识别/手势/深度图像/复杂背景/人机交互Key words
image recognition/ hand posture/ depth image/ complex background/ human-robot interaction分类
信息技术与安全科学引用本文复制引用
李瑞峰,曹雏清,王丽..基于深度图像和表观特征的手势识别[J].华中科技大学学报（自然科学版）,2011,39(z2):88-91,4.基金项目
机器人技术与系统国家重点实验室课题资助项目(SKLRS200802A02). （SKLRS200802A02）
