Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
C. Ding
Zheng Cao
Matthew S. Emigh
José C. Príncipe
B. Ouyang
A. Vuorenkoski
F. Dalgleish
B. Ramos
Yanjun Li

Abstract
To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information whenever underwater animals appear. A new automated underwater imaging system composed of LiDAR (Light Detection and Ranging) imaging hardware and a scene understanding software module named Unobtrusive Multistatic Serial LiDAR Imager (UMSLI) to supervise the presence of animals near turbines. UMSLI integrates the front end LiDAR hardware and a series of software modules to achieve image preprocessing, detection, tracking, segmentation and classification in a hierarchical manner.
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