Improved optical flow algorithm of moving object detection

被引：0
|
作者：
Zhang, Yu [1 ]
Wang, Fenfen [1 ]
机构：
[1] ShenYang Univ, Shenyang, Lliaoning, Peoples R China
来源：
2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2015年
关键词：
Moving target detection; Optical flow; Differential; SEGMENTATION;
D O I：
10.1109/IMCCC.2015.48
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Moving target detection is one of the most active research topics in the field of computer vision, detection of moving targets correctly is one of the important yardstick to evaluate the performance of the vehicle collision avoidance warning system, optical flow algorithm is a common method for moving target detection. This article first introduces the basic concept and equation of optical flow, then briefly introduce the improved optical flow algorithm of moving target detection. In addition, in this paper we also introduce the double three image interpolation algorithm in the region and iterative reweighted least squares algorithm. The experimental results show that this algorithm has higher accuracy and efficiency for realtime collision detection.
引用
收藏
页码：196 / 199
页数：4
相关论文
共 50 条
  • [1] A Moving Object Detection Algorithm Based on a Combination Optical Flow and Edge Detection
    Xi, Yao
    Jia, Ke-bin
    Sun, Zhong-hua
    [J]. INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016), 2017, 535 : 130 - 137
  • [2] Research on moving object detection algorithm based on improved three frame difference method and optical flow
    Han, Xiaowei
    Gao, Yuan
    Lu, Zheng
    Zhang, Zhimin
    Niu, Dun
    [J]. 2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2015, : 579 - 583
  • [3] Moving object detection based on improved ViBe algorithm
    Bo, Gu
    Kefeng, Song
    Daoyin, Qiu
    Hongtao, Zhang
    [J]. International Journal of Smart Home, 2015, 9 (12): : 225 - 232
  • [4] Moving Object Detection Based on Improved ViBe Algorithm
    Liu, Kun
    Zhang, Junping
    [J]. REAL-TIME IMAGE PROCESSING AND DEEP LEARNING 2021, 2021, 11736
  • [5] A Novel Moving Object Detection Algorithm Based on Robust Image Feature Threshold Segmentation with Improved Optical Flow Estimation
    Ding, Jing
    Zhang, Zhen
    Yu, Xuexiang
    Zhao, Xingwang
    Yan, Zhigang
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [6] Tracking of Moving Object Based on Optical Flow Detection
    Chen, Zhiwen
    Cao, Jianzhong
    Tang, Yao
    Tang, Linao
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 1096 - 1099
  • [7] Review of Optical Flow Technique for Moving Object Detection
    Agarwal, Anshuman
    Gupta, Shivam
    Singh, Dushyant Kumar
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2016, : 409 - 413
  • [8] Improved algorithm of the video moving object detection based on ViBE
    Zhongsheng, Wang
    Zhichao, Lian
    Yubian, Wang
    Jianguo, Wang
    [J]. Recent Advances in Computer Science and Communications, 2020, 13 (04) : 781 - 789
  • [9] An improved moving object detection algorithm based on colour separation
    Zhang Wei
    Xu Wei-hong
    [J]. MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 3074 - 3077
  • [10] An Improved Algorithm for Moving Object Detection in YOLO UAV Videos
    School of Science, Beijing Forestry University, Beijing, China
    不详
    不详
    [J]. J. Comput., 3 (147-158):
12345