基于肤色检测和背景差分的人手定位和跟踪

Algorithm of Locating and Tracking of Human Hands Based on Complexion Detection and Background Difference

针对现有运动目标检测算法在实时性和准确性上的不足,提出了一种改进的人手定位和跟踪算法。该算法的基本思路是利用肤色检测和背景差分算法相结合的方式实现人手的定位和跟踪。该算法继承了肤色检测算法环境适应性好和背景差分算法高效稳定的优点,不仅对于复杂的背景环境具有较好的适应性,而且具有较高的检测效率,能够保证检测的实时性。实验证明该算法可实现对视频流中人手的实时定位和跟踪,较之原有算法提高了识别速度和精度,降低了误识别率。

Aiming at the disadvantage of existing moving target detection algorithm in real-time and accuracy,an improved positioning and tracking algorithm is proposed.The basic idea of the algorithm is the combination of complexion detection and background difference algorithm.This algorithm inherits the advantage of complexion detection algorithm in environmental adaptability and background difference algorithm in efficiency and stability.It has good adaptability for the complicated background and also high detection efficiency,which ensures real-time detection.Experiments show that compared with the original algorithm,this identification method improves the speed and accuracy of recognition,reduces false recognition rate.