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Titolo:
A VOP generation tool: Automatic segmentation of moving objects in image sequences based on spatio-temporal information
Autore:
Kim, M; Choi, JG; Kim, D; Lee, H; Lee, MH; Ahn, C; Ho, YS;
Indirizzi:
Elect & Telecommun Res Inst, Broadcasting Technol Dept, Radio & Broadcasting Technol Lab, Taejon 305350, South Korea Elect & Telecommun Res Inst Taejon South Korea 305350 05350, South Korea Kyungil Univ, Kyungsan 712701, Kyungsangbuk, South Korea Kyungil Univ Kyungsan Kyungsangbuk South Korea 712701 angbuk, South Korea Kwangju Inst Sci & Technol, Kwangju 500712, South Korea Kwangju Inst Sci &Technol Kwangju South Korea 500712 00712, South Korea
Titolo Testata:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
fascicolo: 8, volume: 9, anno: 1999,
pagine: 1216 - 1226
SICI:
1051-8215(199912)9:8<1216:AVGTAS>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
VIDEO;
Keywords:
object segmentation; change detection mask; temporal segmentation; spatial segmentation; and tracking;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
16
Recensione:
Indirizzi per estratti:
Indirizzo: Kim, M Elect & Telecommun Res Inst, Broadcasting Technol Dept, Radio & Broadcasting Technol Lab, Taejon 305350, South Korea Elect & Telecommun Res Inst Taejon South Korea 305350 South Korea
Citazione:
M. Kim et al., "A VOP generation tool: Automatic segmentation of moving objects in image sequences based on spatio-temporal information", IEEE CIR SV, 9(8), 1999, pp. 1216-1226

Abstract

The new MPEG-4 video coding standard enables content-based functionalities. In order to support the philosophy of the MPEG-4 visual standard, each frame of video sequences should be represented in terms of video object planes (VOP's), In other wards, video objects to be encoded in still pictures orvideo sequences should be prepared before the encoding process starts. Therefore, it requires a prior decomposition of sequences into VOP's so that each VOP represents a moving object, This paper addresses an image segmentation method for separating moving objects from the background in image sequences,The proposed method utilizes the following spatio-temporal information, 1)For localization of moving objects in the image sequence, two consecutive image frames in the temporal direction are examined and a hypothesis testing is performed by comparing two variance estimates from two consecutive difference images, which results in an F-test. 2) Spatial segmentation is performed to divide each image into semantic regions and to find precise objectboundaries of the moving objects. The temporal segmentation yields a change detection mask that indicates moving areas (foreground) and nonmoving areas (background), and spatial segmentation produces spatial segmentation masks. A combination of the spatial and temporal segmentation masks produces VOP's faithfully, This paper presents various experimental results.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/05/20 alle ore 08:54:17