Urban vehicle detection in high-resolution aerial images via superpixel segmentation and correlation-based sequential dictionary learning
Author:
Affiliation:
1. Chang’an University, School of Electronic and Control Engineering, Xi’an, China
2. Research Institute of Highway Ministry of Transport, Beijing, China
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
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1. Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos
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Cited by 3 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. Efficient and de-shadowing approach for multiple vehicle tracking in aerial video via image segmentation and local region matching;Journal of Applied Remote Sensing;2020-01-10
2. An efficient and flexible approach for multiple vehicle tracking in the aerial video sequence;International Journal of Remote Sensing;2018-04-03
3. Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network;IEEE Access;2018
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