Target Tracking and Classification Using Compressive Measurements of MWIR and LWIR Coded Aperture Cameras

Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.net/journal/jsip
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Citations

"Target Tracking and Classification Using Compressive Measurements of MWIR and LWIR Coded Aperture Cameras"
written by Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac Tran, Jack Zhang, Ralph Etienne-Cummings,
published by Journal of Signal and Information Processing, Vol.10 No.3, 2019

has been cited by the following article(s):

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[7]	A high-performance approach to detecting small targets in long-range low-quality infrared videos
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[9]	Target Detection and Classification Improvements using Contrast Enhanced 16-bit Infrared Videos
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[10]	Target Tracking Algorithm Based on Adaptive Scale Detection Learning
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[12]	Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements
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[13]	Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements
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[15]	Enhancing small moving target detection performance in low-quality and long-range infrared videos using optical flow techniques
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[16]	Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras
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[17]	Tracking and Classification of Multiple Human Objects Directly in Compressive Measurement Domain for Low Quality Optical Videos
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[18]	Multiple Human Objects Tracking and Classification Directly in Compressive Measurement Domain for Long Range Infrared Videos
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[19]	Object Tracking and Classification in Videos Using Compressive Measurements
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[20]	Deep Learning Based Target Tracking and Classification Directly in Compressive Measurement for Low Quality Videos
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[1]	CS-TTD: Triplet Transformer for Compressive Hyperspectral Target Detection IEEE Transactions on Geoscience and Remote Sensing, 2024 DOI:10.1109/TGRS.2024.3436084

[2]	A Decade Review of Video Compressive Sensing: A Roadmap to Practical Applications Engineering, 2024 DOI:10.1016/j.eng.2024.08.013

[3]	A high-performance approach to detecting small targets in long-range low-quality infrared videos Signal, Image and Video Processing, 2022 DOI:10.1007/s11760-021-01970-x

[4]	Manipulator-based autonomous inspections at road checkpoints: application of faster YOLO for detecting large objects Defence Technology, 2021 DOI:10.1016/j.dt.2021.04.004

[5]	Target Tracking Algorithm Based on Adaptive Scale Detection Learning Complexity, 2021 DOI:10.1155/2021/9033912

[6]	A real-time small target detection network Signal, Image and Video Processing, 2021 DOI:10.1007/s11760-021-01857-x

[7]	Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3107782

[8]	Real-time Feedback System of Funding Data Flow Based on Data Tracking and Classification 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2021 DOI:10.1109/I-SMAC52330.2021.9640661

[9]	Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements Journal of Imaging, 2020 DOI:10.3390/jimaging6060040

[10]	Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements Electronics, 2020 DOI:10.3390/electronics9061014

[11]	Enhancing Small Moving Target Detection Performance in Low-Quality and Long-Range Infrared Videos Using Optical Flow Techniques Remote Sensing, 2020 DOI:10.3390/rs12244024

[12]	Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras Sensors, 2019 DOI:10.3390/s19173702

[13]	Multiple Human Objects Tracking and Classification Directly in Compressive Measurement Domain for Long Range Infrared Videos 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019 DOI:10.1109/UEMCON47517.2019.8992976

[14]	Tracking and Classification of Multiple Human Objects Directly in Compressive Measurement Domain for Low Quality Optical Videos 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019 DOI:10.1109/UEMCON47517.2019.8993029

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