Target tracking and classification directly in compressive measurement for low quality videos-Reference-Cited by-同舟云学术

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Target tracking and classification directly in compressive measurement for low quality videos

Published:2019-05-13 Issue: Volume: Page:
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Container-title:Pattern Recognition and Tracking XXX
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Author:

Kwan Chiman,Chou Bryan,Yang Jonathan,Tran Trac

Publisher

SPIE

Reference22 articles.

1. A Generic Approach to Object Matching and Tracking;Li,2006

2. Tracking of Multiple Pixel Targets Using Multiple Cameras;Zhou;15th International Symposium on Neural Networks,2018

3. Anomaly Detection in Low Quality Traffic Monitoring Videos Using Optical Flow;Zhou,2018

4. Efficient Anomaly Detection Algorithms for Summarizing Low Quality Videos;Kwan,2018

5. The Development of a Video Browsing and Video Summary Review Tool;Kwan,2018

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On Ghost Imaging Studies for Information Optical Imaging;Applied Sciences;2022-10-29

2. A high-performance approach to detecting small targets in long-range low-quality infrared videos;Signal, Image and Video Processing;2021-06-23

3. Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques;Remote Sensing;2020-12-09

4. Moving objects multi-classification based on information fusion;Journal of King Saud University - Computer and Information Sciences;2020-05

5. Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras;Sensors;2019-08-26

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