Paper Info
Title
An Enhanced Layer Embedded Pedestrian Detector
Abstract
We propose a method that can detect pedestrians in a single image based on the combination of Adaboost learning with a local histogram features. Besides, instead of using the raw image for further processing, we introduce a layer enhanced by orientation filters which are superimposed to the original image. Experimental results obtained using the INRIA dataset show the superior performance of our method and thus demonstrate its robustness with the novel enhanced layer embedded pedestrian detector.
Year
DOI
Venue
2009
10.1007/978-3-642-04592-9_55
KES (2)
Keywords
Field
DocType
enhanced layer,orientation filter,pedestrian detector,novel enhanced layer,local histogram feature,raw image,single image,original image,superior performance
Histogram,Computer vision,Pedestrian,AdaBoost,Computer science,Image based,Robustness (computer science),Artificial intelligence,Pedestrian detection,Detector
Conference
Volume
ISSN
Citations 
5712
0302-9743
0
PageRank 
References 
Authors
0.34
11
1
Name
Order
Citations
PageRank
Duan-Yu Chen129628.79