基于TMS320DM8168平台的快速运动目标检测研究

Fast Moving Object Detection Based on TMS320DM8168

研究如何在嵌入式平台上对高清视频中的运动目标进行快速、鲁棒的检测。采用德州仪器最新的达芬奇架构TMS320DM8168为平台,在高清1080P视频上实现运动目标的快速检测。采用对噪声较为鲁棒的Vi Be算法进行目标检测,并将该算法移植到该平台的MCFW框架中。同时,为了提高算法性能及效率,对算法进行相关优化,包括编译器选项优化、内存相关优化、标准内联函数优化、循环优化以及DMA等。最终实现在嵌入式平台上的实时高清运动目标检测。实验结果验证了该方法的有效性。

This paper investigates how to perform fast and robust moving object detection in high definition videos on the embedded platform. In this paper,we adopt the TMS320DM8168 as implementation platform,which is the latest TI Davinci architecture,and perform fast moving object detection on 1080 P videos. Specifically,the Vi Be algorithm,robustness to noises,is utilized to detect the moving objects in this work,and further transplanted into the MCFW framework. Moreover,several optimization procedures are developed to improve the performance and efficiency of our algorithm,including compiler options,memory,standard inline function,loop and DMA. Thus,we achieve real-time moving object detection in high definition videos on the embedded platform. The experiments on several videos demonstrate the effectiveness of the proposed algorithms.