OS16-9 Research on multi-object recognition algorithm based on video

Title:	OS16-9 Research on multi-object recognition algorithm based on video
Publication:	ICAROB2018
Volume:	23
Pages:	655-658
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2018.OS16-9
Author(s):	Yong Hou, Runhua Mao, Yan Yu, Yuxing Ouyang, Ce Bian, Binhu Song, Baochang Wei, Yiqiao Qin, Shengbiao Chang, Fengzhi Dai, Hongwei Jiao
Publication Date:	February 2, 2018
Keywords:	Robotic fish, tracking recognition, machine vision, color space
Abstract:	This paper mainly studies and improves the detection and tracking algorithm of the robot fish video and presents a background extraction method based on HSV color space. This method is more efficient than the background extraction method of RGB color space, which improves the recognition, anti - jamming ability and robustness. Through the experiment, it has a strong adaptability to external influences such as background water surface fluctuation, reflective, light change shadow.
PDF File:	https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS16/OS16-9.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/