Title
Robust People Detection by Fusion of Evidence from Multiple Methods
Abstract
This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.
Year
DOI
Venue
2008
10.1109/WIAMIS.2008.8
WIAMIS
Keywords
Field
DocType
real video sequence,simple independent people detector,robust people detection,real-time people detection,multiple methods,proposed integration-based approach,video sequence,simple algorithm,fusion,detectors,image fusion,pixel,real time,feature extraction,real time systems,evidence,robustness,image analysis
Object detection,Computer vision,Pattern recognition,Image fusion,Computer science,Fusion,Feature extraction,Robustness (computer science),Artificial intelligence,SIMPLE algorithm,Detector
Conference
ISBN
Citations 
PageRank 
978-0-7695-3130-4
5
0.45
References 
Authors
9
4