Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

Find Similar Add to Favorite

Call Number SEM - 362
Collection Type Indeks Artikel prosiding/Sem
Title Resolving occlusion in multi-objects tracking using fuzzy similarity measure ( hal 33 - 38)
Author Rahmatri Mardiko , M.Rahmat widyanto;
Publisher Proceedings ICSIIT 2010: International conference on soft computing intelligent system and information technology 1-2 July 2010 Bali Indonesia
Subject multi-object tracking, occlusion handling, fuzzy similarity measure
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM - 362 TERSEDIA
Tidak ada review pada koleksi ini: 47826
occlusion is a very common problem in multi-objects tracking for real world scenes. in this paper, a method for occlusion handling based on fuzzy similarity measure is propesed. fuzzy approach has been succesfully used in many fields where there exists uncertainty and imprecision. in the occlusion problem, similarity measure is incorporated to resolve trsck of sn objects is done by representing color, texture, and shape of objects after occlusion happens. here, the fuzzy similarity measure is done by representing color, texture, and shape of objects as fuzzy features and using fuzzy feature contrast model (FFCM) with its derivatites to perform similarity measure. exprimental results sjpw that the proposed method can handle occlusion effectively with moderately fast computational time.