Flying Objects Classification Using Trajectory Characterization-Reference-Cited by-同舟云学术

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Flying Objects Classification Using Trajectory Characterization

Published:2023-07-03 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Ouerteteni Mohamed El Hedi¹,Zaafouri Ahmed²,Delleji Tijeni²,Mouelhi Aymen¹,Bouchouicha Moez³,Chtourou Zied²,Sayadi Mounir¹

Affiliation:

1. University of Tunis, High National Engineering, School of Tunis,Laboratory SIME,Tunisia,1008

2. Military Research Center, Science and Technology for Defense lab,Tunis,Tunisia,2045

3. University of Toulon, Aix Marseille University, CNRS, LIS,Toulon,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10284032/10284045/10284188.pdf?arnumber=10284188

Reference16 articles.

1. Robust Background Subtraction Based on Perceptual Mixture-of-Gaussians with Dynamic Adaptation Speed

2. Adaptive background mixture models for real-time tracking

3. Application of artificial neural network for automatic detection of butterfly species using color and texture features

4. Moving object detection based on kirsch operator combined with Optical Flow;gao;International Conference on Image Analysis and Signal Processing,0

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