Dr. Stephen Se Profile

Dr. Stephen Se

Research Manager at Teledyne FLIR Systems Ltd.

SPIE Involvement:

Author

Proceedings Article | 21 May 2015 Paper

Object and activity detection from aerial video

Stephen Se, Feng Shi, Xin Liu, Mohsen Ghazel

Proceedings Volume 9473, 947305 (2015) https://doi.org/10.1117/12.2177094

KEYWORDS: Video, Video surveillance, Sensors, Video processing, Cameras, Target detection, Image processing, Data modeling, Unmanned aerial vehicles, Surveillance

Read Abstract +

Proceedings Article | 25 May 2012 Paper

Real-time lidar-based place recognition using distinctive shape descriptors

Jack Collier, Stephen Se, Vinay Kotamraju, Piotr Jasiobedzki

Proceedings Volume 8387, 83870P (2012) https://doi.org/10.1117/12.918760

KEYWORDS: LIDAR, Global Positioning System, Shape analysis, Detection and tracking algorithms, Sensors, Feature extraction, Light sources and illumination, Algorithm development, Environmental sensing, Expectation maximization algorithms

Read Abstract +

Proceedings Article | 25 May 2012 Paper

Automated motion imagery exploitation for surveillance and reconnaissance

Stephen Se, France Laliberte, Vinay Kotamraju, Melanie Dutkiewicz

Proceedings Volume 8386, 83860E (2012) https://doi.org/10.1117/12.920498

KEYWORDS: Video, Video surveillance, Video acceleration, 3D modeling, Video processing, Surveillance, Reconnaissance, Geographic information systems, Calibration, Visualization

Read Abstract +

Airborne surveillance and reconnaissance are essential for many military missions. Such capabilities are critical for troop protection, situational awareness, mission planning and others, such as post-operation analysis / damage assessment. Motion imagery gathered from both manned and unmanned platforms provides surveillance and reconnaissance information that can be used for pre- and post-operation analysis, but these sensors can gather large amounts of video data. It is extremely labour-intensive for operators to analyse hours of collected data without the aid of automated tools. At MDA Systems Ltd. (MDA), we have previously developed a suite of automated video exploitation tools that can process airborne video, including mosaicking, change detection and 3D reconstruction, within a GIS framework. The mosaicking tool produces a geo-referenced 2D map from the sequence of video frames. The change detection tool identifies differences between two repeat-pass videos taken of the same terrain. The 3D reconstruction tool creates calibrated geo-referenced photo-realistic 3D models. The key objectives of the on-going project are to improve the robustness, accuracy and speed of these tools, and make them more user-friendly to operational users. Robustness and accuracy are essential to provide actionable intelligence, surveillance and reconnaissance information. Speed is important to reduce operator time on data analysis. We are porting some processor-intensive algorithms to run on a Graphics Processing Unit (GPU) in order to improve throughput. Many aspects of video processing are highly parallel and well-suited for optimization on GPUs, which are now commonly available on computers. Moreover, we are extending the tools to handle video data from various airborne platforms and developing the interface to the Coalition Shared Database (CSD). The CSD server enables the dissemination and storage of data from different sensors among NATO countries. The CSD interface allows operational users to search and retrieve relevant video data for exploitation.

Proceedings Article | 26 May 2011 Paper

Automated UAV-based video exploitation using service oriented architecture framework

Stephen Se, Christian Nadeau, Scott Wood

Proceedings Volume 8020, 80200Y (2011) https://doi.org/10.1117/12.883581

KEYWORDS: Video, 3D modeling, Video surveillance, Unmanned aerial vehicles, Visualization, Video processing, Geographic information systems, Human-machine interfaces, Surveillance, Reconnaissance

Read Abstract +

Proceedings Article | 13 May 2010 Paper

Workbench for 3D target detection and recognition from airborne motion stereo and ladar imagery

Simon Roy, Stephen Se, Vinay Kotamraju, Jean Maheux, Christian Nadeau, Vincent Larochelle, Jonathan Fournier

Proceedings Volume 7696, 76960M (2010) https://doi.org/10.1117/12.849567

KEYWORDS: 3D modeling, 3D acquisition, 3D image processing, Data modeling, Clouds, Databases, Video, Detection and tracking algorithms, RGB color model, LIDAR

Read Abstract +

Proceedings Article | 29 April 2009 Paper

Automated UAV-based mapping for airborne reconnaissance and video exploitation

Stephen Se, Pezhman Firoozfam, Norman Goldstein, Linda Wu, Melanie Dutkiewicz, Paul Pace, J. L. Pierre Naud

Proceedings Volume 7307, 73070M (2009) https://doi.org/10.1117/12.820225

KEYWORDS: 3D modeling, Video, Video surveillance, Calibration, Cameras, Unmanned aerial vehicles, 3D metrology, Visualization, Surveillance, Reconnaissance

Read Abstract +

Proceedings Article | 15 May 2007 Paper

Stereo-vision-based 3D modeling of space structures

Stephen Se, Piotr Jasiobedzki, Richard Wildes

Proceedings Volume 6555, 65550E (2007) https://doi.org/10.1117/12.718427

KEYWORDS: 3D modeling, Cameras, Visual process modeling, Projection systems, Motion estimation, 3D metrology, 3D image processing, Stereoscopic cameras, Data modeling, Motion models

Read Abstract +

Proceedings Article | 2 May 2007 Paper

Stereo-vision based 3D modeling for unmanned ground vehicles

Stephen Se, Piotr Jasiobedzki

Proceedings Volume 6561, 65610X (2007) https://doi.org/10.1117/12.718399

KEYWORDS: 3D modeling, Cameras, 3D metrology, 3D image processing, Motion models, Visualization, Visual process modeling, Stereoscopic cameras, Image processing, Sensors

Read Abstract +

Proceedings Article | 19 May 2005 Paper

Autonomous satellite rendezvous and docking using lidar and model based vision

Piotr Jasiobedzki, Stephen Se, Tong Pan, Manickam Umasuthan, Michael Greenspan

Proceedings Volume 5798, (2005) https://doi.org/10.1117/12.604011

KEYWORDS: Satellites, LIDAR, Space operations, 3D modeling, Data modeling, 3D acquisition, Target detection, Visual process modeling, Detection and tracking algorithms, Sensors

Read Abstract +

Showing 5 of 9 publications

Conference Committee Involvement (1)

Geospatial Informatics, Fusion, and Motion Video Analytics VI

19 April 2016 | Baltimore, MD, United States

Keywords/Phrases

Search In:

Publication Years