A Novel Descriptor for Pedestrian Detection in Video Sequences

Autor:	Narges Armanfard, Majid Komeili, Ehsanollah Kabir
Jazyk:	angličtina
Rok vydání:	2010
Předmět:	pedestrian detection texture edge block-based approach background subtraction surveillance systems Information technology T58.5-58.64 Telecommunication TK5101-6720 Electronic computers. Computer science QA75.5-76.95
Zdroj:	International Journal of Information and Communication Technology Research, Vol 2, Iss 2, Pp 1-8 (2010)
Druh dokumentu:	article
ISSN:	2251-6107 2783-4425
Popis:	This paper presents a novel Texture-Edge Descriptor, TED, for background modeling and pedestrian detection in video sequences which models texture and edge information of each image block simultaneously. Each block is modeled as a group of adaptive TED histograms that are calculated for pixels of the block over a rectangular neighborhood. TED is an 8-bit binary code which is independent of the neighborhood size. Experimental results over real-world sequences from PETS database clearly show that TED outperforms LBP.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/240aa331388c4d0791e210cfbd5842fa Zobrazit plný text záznamu View record in DOAJ