An Edge-Detection Method for Moving Objects

Autor:	Ying Shan, Mao-Zu Guo, Jing Zhang
Rok vydání:	2007
Předmět:	business.industry media_common.quotation_subject Video sequence Image processing Pattern recognition Fuzzy logic Object detection Edge detection Adaptability Support vector machine Robustness (computer science) Computer vision Artificial intelligence business Mathematics media_common
Zdroj:	2007 IEEE International Conference on Automation and Logistics.
DOI:	10.1109/ical.2007.4338819
Popis:	A method is illustrated in this paper for edge detection of moving objects in video sequences, the method synthetically combines LS-SVM (Least Squares-Support Vector Machines) algorithm with motion recovery theory for edge detection. The experimental results show that this method can provide accurate edge detection result effectively and overcomes fuzzy parts of image caused by motion. Due to low computation complexity, it has fine adaptability and robustness.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5123521d825196b6682b02288be02c89 https://doi.org/10.1109/ical.2007.4338819 Zobrazit plný text záznamu