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
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Google-based Impact Factor: 1.19
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"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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[1]	Experimental insights toward carrier localization in in-rich InGaAs/InP as candidate for SWIR detection: Microstructural analysis combined with optical investigation
	Materials Science in …, 2023

[2]	From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth
	…, 2022

[3]	Thermal image processing-based intelligent technique for object detection
	Signal, Image and Video Processing, 2022

[4]	Coded-aperture computational millimeter-wave image classifier using convolutional neural network
	IEEE …, 2021

[5]	Real-time Feedback System of Funding Data Flow Based on Data Tracking and Classification
	2021 Fifth International Conference on I …, 2021

[6]	A high-performance approach to detecting small targets in long-range low-quality infrared videos
	2021

[7]	A real-time small target detection network
	2021

[8]	Target Detection and Classification Improvements using Contrast Enhanced 16-bit Infrared Videos
	2021

[9]	Target Tracking Algorithm Based on Adaptive Scale Detection Learning
	2021

[10]	Manipulator-based autonomous inspections at road checkpoints: Application of faster YOLO for detecting large objects
	2021

[11]	Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements
	2020

[12]	Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements
	2020

[13]	Strange Behaviors and Root Cause in the Compression of Previously Compressed Videos
	2020

[14]	Enhancing small moving target detection performance in low-quality and long-range infrared videos using optical flow techniques
	2020

[15]	Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras
	2019

[16]	Tracking and Classification of Multiple Human Objects Directly in Compressive Measurement Domain for Low Quality Optical Videos
	2019

[17]	Multiple Human Objects Tracking and Classification Directly in Compressive Measurement Domain for Long Range Infrared Videos
	2019

[18]	Object Tracking and Classification in Videos Using Compressive Measurements
	2019

[19]	Deep Learning Based Target Tracking and Classification Directly in Compressive Measurement for Low Quality Videos
	2019

[20]	Deep Learning Based Target Tracking and Classification for Infrared Videos Using Compressive Measurements
	2019

[1]	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

[2]	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

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

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

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

[6]	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

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

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

[9]	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

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

[11]	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

[12]	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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