Title :
Preliminary study on a framework for imaging sonar based underwater object recognition
Author :
Yeongjun Lee ; Tae Gyun Kim ; Hyun-Taek Choi
Author_Institution :
Korea Inst. of Ocean Sci. & Technol., Daejeon, South Korea
fDate :
Oct. 30 2013-Nov. 2 2013
Abstract :
This paper presents a framework for underwater object recognition using imaging sonar. The framework consists of selection of candidates of interest, recognition, and tracking. Instead of trying to recognize objects from a whole image at any certain time using one-size-fit-all method, we´re going to select candidates as possible objects of interest first and get rid of fake candidates using a probability based method similar to particle filter in series of images. Each candidate in small cut-out image is under processing by various and specific image processing techniques to recognize object, then it is transferred to tracking phase with object ID. We perform a simple test for an artificial landmark to show feasibility of the proposed framework.
Keywords :
object recognition; probability; sonar imaging; artificial landmark; imaging sonar; object ID; probability based method; small cut-out image processing; underwater object recognition; Artificial landmark; DIDSON; Imaging sonar; Object recognition; Probability;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
DOI :
10.1109/URAI.2013.6677326