Mr. Timothy L. Overman Profile

Timothy L. Overman

Sr. Technical Fellow

SPIE Involvement:

Conference Chair | Editor | Author

Publications (5)

Proceedings Article | 30 May 2022 Presentation

Deep learning for construction monitoring in rapidly urbanizing areas

Zachary DeSantis, Matthew Reisman, Adam Francisco, Latisha Konz, Dominic LeDuc, Timothy Overman

Proceedings Volume PC12096, PC1209606 (2022) https://doi.org/10.1117/12.2624103

KEYWORDS: Network architectures, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 12 April 2021 Presentation + Paper

XATR with occlusion and super-resolution

Krystle Beaulieu, Shabab Siddiq, Sundip Desai, Nhat Nguyen, Moses Chan, Timothy Overman, Lawrence Schirmer

Proceedings Volume 11729, 1172904 (2021) https://doi.org/10.1117/12.2585704

KEYWORDS: Super resolution, Detection and tracking algorithms, Target recognition, Automatic target recognition, Transparency, Neural networks, Logic, Image resolution, Head, Convolution

Read Abstract +

Proceedings Article | 12 April 2021 Presentation + Paper

Closely spaced object segmentation using a hybrid deep learning approach

Matthew Reisman, Jonathan Dalrymple, Adam Francisco, Latisha Konz, Timothy Overman

Proceedings Volume 11729, 117290J (2021) https://doi.org/10.1117/12.2586991

KEYWORDS: Image segmentation, Image resolution, Detection and tracking algorithms, Algorithm development, Yield improvement, Target detection, Sensors, Planets, Evolutionary algorithms, Convolutional neural networks

Read Abstract +

Proceedings Article | 14 May 2019 Presentation + Paper

HySARNet: a hybrid machine learning approach to synthetic aperture radar automatic target recognition

Ryan Soldin, Douglas MacDonald, Matthew Reisman, Latisha Konz, Roger Rouse, Timothy Overman

Proceedings Volume 10988, 1098804 (2019) https://doi.org/10.1117/12.2518155

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Sensors, 3D modeling, Target detection, Data modeling

Read Abstract +

Proceedings Article | 3 May 2012 Paper

Sensor agnostic object recognition using a map seeking circuit

Timothy Overman, Michael Hart

Proceedings Volume 8391, 83910N (2012) https://doi.org/10.1117/12.917640

KEYWORDS: Data modeling, Sensors, 3D modeling, Object recognition, LIDAR, Detection and tracking algorithms, Video, Signal to noise ratio, Radar, Electro optical modeling

Read Abstract +