中文摘要：

目前基于手势识别的人机交互系统还没得到广泛应用，而且市面上大多数的应用都需要依赖昂贵的硬件平台。为了实现一个成本低廉且处理与识别速度高的动态手势识别控制系统，提出了一种基于查找多核高斯肤色哈希表和运动特征融合的快速识别算法，并用该算法在JZ4755嵌入式平台上构建了动态手势控制方案。该系统首先通过间隔降采样法减少处理的数据量，然后对采集的手势帧用查找高斯肤色哈希表和帧间异或运算提取运动特征区域，最后根据观察运动特征区域面积的突变特征确定输出手势指令来操作电视机播放。在摄像头输入视频帧分辨率为640＊480的条件下，该系统的处理速度达到23帧／秒。实验结果表明，该人机交互系统具有方案实时性高、算法对硬件平台依赖低和操作人性化等特点。

英文摘要：

The human-computer interaction system based on gesture recognition is not used widely, most of the applications on the market depend on expensive hardware platform. In order to achieve a low cost and a nigh speed of dynamic gesture recognition control system, put forward a kind of fast recognition algorithm which based on searching multi-core Gaussian color hash table and integrating movement characteristics, then use the algorithm on JZ4755 embedded platform to build a dynamic gesture recognition control system. First, the sys- tem uses interval sampling method to reduce the amount of data. Then, splite the acquisition of gesture frames into exclusive area of mo- tion feature by searching Gaussian color hash table and inter-frame method. Last, according to observing mutation characteristics of move- ment area to output gesture indicative to operate the television broadcast. On the conditions which camera input frames size is 640 ~ 480, the processing speed of the system reach 23 FPS. The experimental results show that the human-computer interaction system has the fea- ture of high real-time, relying on hardware platform lowly, humanized operation and so on.