Application of Binary Tree Model in Object Tracking

被引：0
|
作者：
Zheng Y. [1 ]
Li R. [1 ]
机构：
[1] School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, Guangdong
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2020年 / 48卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Accuracy; Binary tree model; Image segmentation; Object tracking; Quadtree model; Tracking speed;
D O I：
10.12141/j.issn.1000-565X.190173
中图分类号：
学科分类号：
摘要：
Object tracking has always been an important research topic in the field of computer vision.It is widely used in video surveillance, traffic monitoring, medical diagnosis and other fields.An object tracking algorithm based on binary tree model was proposed.The method divides the target area of the image into several homogeneous blocks of different sizes, following the rule of the binary tree partition.The pixels in the block are similar and can be represented by a single value or vector whereas the pixels in different blocks differ from each significantly, thus forming the feature description model of the whole object.The CT algorithm, the quadtree model based algorithm(QT algorithm)and the proposed binary tree model based algorithm(BT algorithm)were compared from the aspects of accuracy and tracking speed.The results show that compared with the quadtree-based algorithm, the BT-based tracking algorithm can improve the tracking speed significantly without reducing the tracking accuracy.And compared with the discriminant CT-based algorithm, which is known for its fast tracking speed, the BT-based tracking accuracy is even better under the premise that the tracking speed is roughly equal. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：42 / 50
页数：8
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