摘要
超像素能够降低图像的冗余信息,减少图像后续处理的复杂度,已受到了国内外学者的广泛关注。为了降低运动目标跟踪过程中受内外因素影响而发生漂移的概率,本文提出了一种单目标跟踪算法。首先分析了运动目标跟踪算法和超像素分割算法的概念原理和发展现状,然后基于SLIC超像素分割算法和粒子滤波算法构建运动目标跟踪算法。本算法能够较好地实现判别式跟踪,具有较好的鲁棒性和准确性。
Superpixels can reduce the redundant information of images, and it can also reduce the complexity of the subsequent im-age processing. So up to now superpixels have been widely concerned by scholars at home and abroad. In order to reduce the proba-bility of drifting in the process of moving target tracking which may be affected by internal and external factors, one single targettracking algorithm is proposed in this paper. Firstly, the concept and development of moving target tracking algorithm and superpix-el segmentation algorithm are analyzed. Then, a moving object tracking algorithm is constructed based on SLIC superpixel segmen-tation algorithm and particle filter algorithm. The algorithm can achieve discrimitive tracking better, and has better robustness andaccuracy.
出处
《电脑知识与技术》
2018年第11Z期201-202,共2页
Computer Knowledge and Technology
基金
江苏高校品牌专业建设工程资助项目(PPZY2015C240)
无锡职业技术学院校级科研项目(ZK201704)
