Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image

Autor:	Ding, Chi, Cao, Zheng, Emigh, Matthew S., Principe, Jose C., Ouyang, Bing, Vuorenkoski, Anni, Dalgleish, Fraser, Ramos, Brian, Li, Yanjun
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1911.03267 Zobrazit plný text záznamu View this record from Arxiv