|Table of Contents|

Pedestrian detection of infrared images based on saliency segmentation

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2013年02期
Page:
251-
Research Field:
Publishing date:

Info

Title:
Pedestrian detection of infrared images based on saliency segmentation
Author(s):
Yang Yang12Yang Jingyu1
1.School of Computer Science and Engineering,NUST,Nanjing 210094,China; 2.School of Computer and Information Engineering,Henan University,Kaifeng 475001,China
Keywords:
pedestrian detection infrared images saliency segmentation attention points template match
PACS:
TP391.4
DOI:
-
Abstract:
An effective approach for pedestrian dectecting is presented in this paper considering the characteristics of infrared images and human shapes.A method based on the statistics histogram of contrast is used to calculate saliency maps(SM)of infrared images.Attention points(AP)extracted from SM are used to decide the segmentation threshold.The hierarchical part-template match tree is built combined with prior probabilities and varieties of human posture.After matching template-tree with segmented results,pedestrians are presented.Experiment results of the approach are compared with that of other methods on three open datasets.The results show that the proposed algorithm has the high precision with less time.

References:

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Last Update: 2013-04-30