Dr. Shuowen Hu Profile

Dr. Shuowen Hu

Electronics Engineer

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 13 June 2023 Presentation + Paper

Frequency-based aerial video recognition

Divya Kothandaraman, Xijun Wang, Tianrui Guan, Sean Hu, Ming Lin, Dinesh Manocha

Proceedings Volume 12544, 125440J (2023) https://doi.org/10.1117/12.2663491

KEYWORDS: Video, Action recognition, Unmanned aerial vehicles, Object detection, Optical flow, Neural networks, Mathematical modeling, Cameras, Army, Transformers

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Proceedings Article | 7 May 2019 Presentation + Paper

Characterizing hyperspectral signatures of human faces in the shortwave infrared spectrum

Robert Goldman, Minas Benyamin, Matthew Thielke, Shuowen Hu

Proceedings Volume 11018, 110180Z (2019) https://doi.org/10.1117/12.2519735

KEYWORDS: Short wave infrared radiation, Infrared signatures, Hyperspectral imaging, Facial recognition systems, Infrared radiation, Databases, Machine learning

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Proceedings Article | 14 May 2018 Presentation + Paper

Overview of polarimetric thermal imaging for biometrics

Shuowen Hu, Nathaniel Short, Kristan Gurton, Benjamin Riggan

Proceedings Volume 10655, 1065502 (2018) https://doi.org/10.1117/12.2299761

KEYWORDS: Polarimetry, Facial recognition systems, Thermography, Biometrics, Polarization, Iris recognition, Long wavelength infrared, Visible radiation, Infrared radiation, Feature extraction

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SPIE Journal Paper | 16 May 2017

Estimation of cylinder orientation in three-dimensional point cloud using angular distance-based optimization

Yun-Ting Su, Shuowen Hu, James Bethel

OE, Vol. 56, Issue 05, 053106, (May 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.5.053106

KEYWORDS: Clouds, LIDAR, Systems modeling, 3D modeling, Mathematical modeling, Hough transforms, Remote sensing

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Proceedings Article | 17 May 2016 Paper

In-vehicle group activity modeling and simulation in sensor-based virtual environment

Amir Shirkhodaie, Durga Telagamsetti, Azin Poshtyar, Alex Chan, Shuowen Hu

Proceedings Volume 9842, 984215 (2016) https://doi.org/10.1117/12.2226029

KEYWORDS: Eye models, Modeling and simulation, Virtual reality, Video processing, Sensors, Visual process modeling, Sensors, Video processing, Visualization, Head, Motion models, Skin

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Proceedings Article | 17 May 2016 Paper

Skin subspace color modeling for daytime and nighttime group activity recognition in confined operational spaces

Amir Shirkhodaie, Azin Poshtyar, Alex Chan, Shuowen Hu

Proceedings Volume 9842, 984213 (2016) https://doi.org/10.1117/12.2226026

KEYWORDS: Skin, Space operations, Detection and tracking algorithms, RGB color model, Light sources and illumination, Visual process modeling, Data modeling, Statistical modeling, Video, Machine vision

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Proceedings Article | 17 May 2016 Paper

Hand gesture recognition in confined spaces with partial observability and occultation constraints

Amir Shirkhodaie, Alex Chan, Shuowen Hu

Proceedings Volume 9842, 984214 (2016) https://doi.org/10.1117/12.2226024

KEYWORDS: Gesture recognition, Taxonomy, Kinematics, Motion models, Data modeling, Neodymium, Surveillance, Ions, Cameras, Video

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Proceedings Article | 17 May 2016 Paper

Toward automated face detection in thermal and polarimetric thermal imagery

Christopher Gordon, Mark Acosta, Nathan Short, Shuowen Hu, Alex Chan

Proceedings Volume 9842, 984212 (2016) https://doi.org/10.1117/12.2222578

KEYWORDS: Facial recognition systems, Thermography, Sensors, Visible radiation, Polarimetry, Detection and tracking algorithms, Image filtering, Wavelets, Commercial off the shelf technology, Long wavelength infrared

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Proceedings Article | 5 June 2015 Paper

Dimensionality analysis of facial signatures in visible and thermal spectra

Nathan Short, Shuowen Hu, Prudhvi Gurram

Proceedings Volume 9474, 947413 (2015) https://doi.org/10.1117/12.2177138

KEYWORDS: Facial recognition systems, Mid-IR, Visible radiation, Image resolution, Long wavelength infrared, Super resolution, Principal component analysis, Error analysis, Thermography, Detection and tracking algorithms

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Face images are an important source of information for biometric recognition and intelligence gathering. While face recognition research has made significant progress over the past few decades, recognition of faces at extended ranges is still highly problematic. Recognition of a low-resolution probe face image from a gallery database, typically containing high resolution facial imagery, leads to lowered performance than traditional face recognition techniques. Learning and super-resolution based approaches have been proposed to improve face recognition at extended ranges; however, the resolution threshold for face recognition has not been examined extensively. Establishing a threshold resolution corresponding to the theoretical and empirical limitations of low resolution face recognition will allow algorithm developers to avoid focusing on improving performance where no distinguishable information for identification exists in the acquired signal. This work examines the intrinsic dimensionality of facial signatures and seeks to estimate a lower bound for the size of a face image required for recognition. We estimate a lower bound for face signatures in the visible and thermal spectra by conducting eigenanalysis using principal component analysis (PCA) (i.e., eigenfaces approach). We seek to estimate the intrinsic dimensionality of facial signatures, in terms of reconstruction error, by maximizing the amount of variance retained in the reconstructed dataset while minimizing the number of reconstruction components. Extending on this approach, we also examine the identification error to estimate the dimensionality lower bound for low-resolution to high-resolution (LR-to-HR) face recognition performance. Two multimodal face datasets are used for this study to evaluate the effects of dataset size and diversity on the underlying intrinsic dimensionality: 1) 50-subject NVESD face dataset (containing visible, MWIR, LWIR face imagery) and 2) 119-subject WSRI face dataset (containing visible and MWIR face imagery).

Proceedings Article | 22 May 2015 Paper

Physical environment virtualization for human activities recognition

Azin Poshtkar, Vinayak Elangovan, Amir Shirkhodaie, Alex Chan, Shuowen Hu

Proceedings Volume 9478, 94780I (2015) https://doi.org/10.1117/12.2178547

KEYWORDS: Virtual reality, Cameras, Sensors, Algorithm development, Computer simulations, Eye models, Data modeling, Detection and tracking algorithms, Video, Surveillance

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Proceedings Article | 20 May 2015 Paper

Detection of anomalous track patterns for long term surveillance

Shuowen Hu, Prudhvi Gurram, Alex Lipchen Chan

Proceedings Volume 9464, 946404 (2015) https://doi.org/10.1117/12.2182099

KEYWORDS: Surveillance, Video, Video surveillance, Data modeling, Binary data, Video compression, Process modeling, Machine vision, Computer vision technology, Statistical analysis

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Proceedings Article | 20 June 2014 Paper

Thermal-to-visible face recognition using multiple kernel learning

Shuowen Hu, Prudhvi Gurram, Heesung Kwon, Alex Chan

Proceedings Volume 9091, 909110 (2014) https://doi.org/10.1117/12.2051033

KEYWORDS: Facial recognition systems, Visible radiation, Mid-IR, Neodymium, Feature extraction, Thermography, Short wave infrared radiation, Long wavelength infrared, Optical filters, Databases

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Proceedings Article | 20 May 2013 Paper

Unsupervised pedestrian detection using support vector data description

Prudhvi Gurram, Shuowen Hu, Chris Reale, Alex Chan

Proceedings Volume 8744, 874405 (2013) https://doi.org/10.1117/12.2015398

KEYWORDS: Data modeling, Detection and tracking algorithms, Sensors, Statistical modeling, Feature extraction, Process modeling, Algorithm development, Image processing, Data centers, Niobium

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Proceedings Article | 20 May 2013 Paper

Implementation of a cascaded HOG-based pedestrian detector

Christopher Reale, Prudhvi Gurram, Shuowen Hu, Alex Chan

Proceedings Volume 8744, 874403 (2013) https://doi.org/10.1117/12.2015331

KEYWORDS: Sensors, Detection and tracking algorithms, Feature extraction, Video, Video surveillance, Surveillance, Robotics, Safety, Machine learning, Error analysis

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Proceedings Article | 12 March 2013 Paper

Uniform grid upsampling of 3D lidar point cloud data

Prudhvi Gurram, Shuowen Hu, Alex Chan

Proceedings Volume 8650, 86500B (2013) https://doi.org/10.1117/12.2004200

KEYWORDS: Clouds, LIDAR, Buildings, Data modeling, 3D modeling, Raster graphics, 3D image processing, Data conversion, Tin, Airborne laser technology

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Proceedings Article | 21 May 2012 Paper

Thermal to visible face recognition

Jonghyun Choi, Shuowen Hu, S. Susan Young, Larry Davis

Proceedings Volume 8371, 83711L (2012) https://doi.org/10.1117/12.920330

KEYWORDS: Facial recognition systems, Thermography, Transform theory, Thermal modeling, Visible radiation, Image filtering, Surveillance, Infrared radiation, Infrared imaging, Near infrared

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Proceedings Article | 17 May 2011 Paper

Super-resolution benefit for face recognition

Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon Phillips

Proceedings Volume 8029, 80291K (2011) https://doi.org/10.1117/12.882956

KEYWORDS: Facial recognition systems, Super resolution, Image resolution, Video, Video surveillance, Detection and tracking algorithms, Surveillance, Cameras, Lawrencium, Gait analysis

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