Improved RPN for Single Targets Detection Based on the Anchor Mask Net

Autor:	Fanghao Dong, Yin Zhonghai, Mingjie Li, Cheng Zhou, Feng Youqian
Rok vydání:	2019
Předmět:	Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Net (polyhedron) Computer vision Artificial intelligence business Video image Single frame Image (mathematics)
Zdroj:	Image and Graphics Technologies and Applications ISBN: 9789811399169 IGTA
DOI:	10.1007/978-981-13-9917-6_2
Popis:	Common target detection is usually based on single frame images, which is vulnerable to affected by the similar targets in the image and not applicable to video images. In this paper, anchor mask is proposed to add the prior knowledge for target detection and an anchor mask net is designed to improve the RPN performance for single target detection. Tested in the VOT2016, the model perform better.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::298a88b2c5baed6f302c29ab9d9243ac https://doi.org/10.1007/978-981-13-9917-6_2 Zobrazit plný text záznamu