自动化学报2006，Vol.32Issue(6)：978-987,10.
基于模糊逻辑的多相机非重叠场景的物体匹配
Object Matching Across Multiple Non-overlapping Fields of View Using Fuzzy Logic
LOKE Yuan Ren 1KUMAR Pankaj 2RANGANATH Surendra 1黄为民2
作者信息
- 1. Electrical and Computer Engineering, National University of Singapore,4 Engineering Drive 3, Singapore 117576, Singapore
- 2. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore
- 折叠
摘要
Abstract
An approach based on fuzzy logic for matching both articulated and non-articulated objects across multiple non-overlapping field of views (FoVs) from multiple cameras is proposed.We call it fuzzy logic matching algorithm (FLMA). The approach uses the information of object motion, shape and camera topology for matching objects across camera views. The motion and shape information of targets are obtained by tracking them using a combination of ConDensation and CAMShift tracking algorithms. The information of camera topology is obtained and used by calculating the projective transformation of each view with the common ground plane. The algorithm is suitable for tracking non-rigid objects with both linear and non-linear motion. We show videos of tracking objects across multiple cameras based on FLMA. From our experiments, the system is able to correctly match the targets across views with a high accuracy.关键词
Multi-camera tracking/fuzzy logic/camera topology/particle filter/CAMShiftKey words
Multi-camera tracking/fuzzy logic/camera topology/particle filter/CAMShift分类
信息技术与安全科学引用本文复制引用
LOKE Yuan Ren,KUMAR Pankaj,RANGANATH Surendra,黄为民..基于模糊逻辑的多相机非重叠场景的物体匹配[J].自动化学报,2006,32(6):978-987,10.
