Foreground estimation in motion imagery using multi-frame change detection techniques

Autor:	Andrew J. Lingg, Brian D. Rigling
Rok vydání:	2013
Předmět:	Background subtraction Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion (physics) Multi frame Data set Computer vision sense organs Artificial intelligence skin and connective tissue diseases business Change detection
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.2015931
Popis:	Using multi-frame change detection methods, we estimate which pixels include objects that are in motion relative to the background. We utilize both a sequential statistical change detection method and a sparsity-based change detection method. We perform foreground estimation in videos in which the background is static as well as in images in which apparent background motion is induced by camera motion. We show the results of our techniques on the background subtraction data set from the Statistical Visual Computing Lab at the University of California, San Diego(UCSD).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c18e91d5e7bc0eb3a6308afb0ff6c259 https://doi.org/10.1117/12.2015931 Zobrazit plný text záznamu