摘要
随着科学技术的不断发展,具有摄像功能的移动设备越来越多,这给动态场景下的视觉跟踪技术开辟了广阔的应用前景。TLD(Tracking-Learning-Detection)算法是一种新颖、高效的长时间视觉跟踪算法。在该算法的基础上对动态场景下的视觉跟踪技术进行研究。首先对TLD算法的主要特点、框架流程进行了总结;然后重点分析了TLD算法综合模块的机制,针对原算法在跟踪过程中出现漂移甚至跟踪失败的问题,对算法综合模块的整合机制提出改进;最后经实验论证,改进算法取得了预期的效果,在不影响运行速度的情况下提高了跟踪的稳定性和识别率。
With the continuous development of science and technology, more and more mobile devices are equipped with camera, which creates a broad application prospect for the dynamic background visual tracking technology'. The TLD (Tracking-Learning- Detection) algorithm is a novel, efficient and long-term visual tracking algorithm. In this paper, the visual tracking technology is studied based on this algorithm. First of all, the main characteristics and framework of TLD are summarized. Secondly, the mecha- nism of TLD's integrator is analyzed. Moreover, aiming at the original algorithm's problems, such as drifting and failure, the im- provement on integration mechanism of integrator is proposed. Finally, the experiment demonstrates that the developed algorithm ob- tains expected effects, and it improves the stability and recognition rate witbout affecting the operation speed.
出处
《电视技术》
北大核心
2015年第7期111-114,共4页
Video Engineering