Year: 2015
Type: article
Abstract: A method of moving target tracking based on optical flow technology is proposed in this paper.Extract the feature points of the moving target by the SIFT algorithm, and replace the interesting points in traditional optical flow method with the extracted feature points, then track the moving target through these points.The proposed moving target tracking method has better tracking precision for the SIFT algorithm is invariant to rotation and scale change of moving target .At the same time, the optical flow estimation is obtained using the pyramid LK optical flow algorithm so that the computation of the tracking process is reduced, the accuracy is improved and the movement target tracking has a real-time performance .In this paper, three groups of experiments was conducted, a set of contrast experiments under the proposed method and the traditional optical flow method, a set of validation experiments of single moving target with some shelter and another set of validation experiments of multiple moving target with irregular shelters .The experimental results verify that the the proposed method has a good accuracy, robustness and real-time performance.
Authors: Cheng Yi, Cui Liyun, Luo Chunguang
Institution: Tiangong University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Awards: G5344029827, G6036321915
OpenAlex ID: W2215969780