A moving vehicle tracking algorithm based on deep learning
- 22 July 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Ambient Intelligence and Humanized Computing
Abstract
No abstract availableKeywords
Funding Information
- Chinese Academy of Sciences (XAB2016B23)
- Zhejiang University (A2026)
This publication has 37 references indexed in Scilit:
- Research on moving object detection based on improved mixture Gaussian modelOptik, 2015
- Front-view car detection and counting with occlusion in dense traffic flowInternational Journal of Control, Automation and Systems, 2015
- "Moving Object Tracking of Vehicle Detection": A Concise ReviewInternational Journal of Signal Processing, Image Processing and Pattern Recognition, 2015
- Collaborative Fuzzy Clustering From Multiple Weighted ViewsIEEE Transactions on Cybernetics, 2014
- Combining complementary edge, keypoint and color features in model-based tracking for highly dynamic scenesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Accurate Scale Estimation for Robust Visual TrackingPublished by British Machine Vision Association and Society for Pattern Recognition ,2014
- Object Tracking Based on Extended SURF and Particle FilterLecture Notes in Computer Science, 2013
- Vehicle Tracking by Simultaneous Detection and Viewpoint EstimationLecture Notes in Computer Science, 2013
- Efficient visual tracking using particle filter with incremental likelihood calculationInformation Sciences, 2012
- Multiclass Multimodal Detection and Tracking in Urban EnvironmentsThe International Journal of Robotics Research, 2010