Wide area active collaborative tracking of waterborne vessels

Amir Tamrakar; Sang-Hack Jung; Christopher Broaddus; Ajay Divakaran; Harpreet Sawhney

doi:10.1117/12.850467

7 May 2010 Wide area active collaborative tracking of waterborne vessels

Amir Tamrakar, Sang-Hack Jung, Christopher Broaddus, Ajay Divakaran, Harpreet Sawhney

Proceedings Volume 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX; 76662H (2010) https://doi.org/10.1117/12.850467
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

We describe a real-time wide area surveillance system (WA-ACTV) for the automatic tracking of vessels using a network of PTZ cameras. The system is capable of optimally managing hundreds of PTZ cameras to simultaneously track a large numbers of vessels. The tracked vessels are fingerprinted using a scale-invariant part-based representation and subsequently used for reacquiring the tracks when the vessel comes back into view on a different sensor thus allowing the system to extend the tracking range over the wide area of surveillance. We have realized a small-scale version of the system and demonstrated it in an inland waterway as well as a small section of a sea port. The system operates in real-time at a frame rate of 15 Hz and is easily scalable to hundreds of PTZ cameras. The fingerprint-based reacquisition of targets has been evaluated to have a accuracy of 91%.

Citation Download Citation

Amir Tamrakar, Sang-Hack Jung, Christopher Broaddus, Ajay Divakaran, and Harpreet Sawhney "Wide area active collaborative tracking of waterborne vessels", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76662H (7 May 2010); https://doi.org/10.1117/12.850467

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KEYWORDS

Cameras

Sensors

Imaging systems

Scanning tunneling microscopy

Target detection

Automatic tracking

Computer programming

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