An Improvement Measure to Human Body Detection Based on Kinect Using Integral Images

Human body detection of intelligent system is an important and crucial issue, and this work has been studied for many years. Luciano Spinello achieved the real-time detection performance of human body based on Kinect with the help of GPU to accelerate to computation of features .But when its algorithm is realized in CPU, it can’t still achieve the real-time detection performance. This paper put forword a improvement measure to accelerate the computation of features. Features can be rapidly calculated by integral images, which was proposed by Qiang Zhu to detect object rapidly in 2001, abandoning the previous procession of using three line interpolation and Gauss filter, the improved algorithm, in CPU 3.10Ghz, RAM 2.85GB, 640*480 detection window, can achieve the average detection rate of 40 FPS. Performance gets promotion greatly.