People detection in dynamic images

Author

Branca, A. ; Leo, M. ; Attolico, G. ; Distante, A.

Author_Institution

Ist. Elaborazione Segnali ed Immagini, C.N.R., Bari, Italy

Volume

3

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

2428

Lastpage

2432

Abstract

The main aim of this work is people detection in outdoor environments in the context of video surveillance for intruder detection in archeological sites. Our goal is to propose an example-based learning technique to detect people in dynamic scenes. The classification is purely based on the people shape and not on its image content. First motion information is used for detecting the objects of interest. Haar wavelets are used to represent the images and, finally, a supervised three layer neural network is used to classify the patterns

Keywords

Haar transforms; archaeology; image recognition; learning by example; multilayer perceptrons; object recognition; security; surveillance; wavelet transforms; Haar wavelets; archeological sites; dynamic images; example-based learning technique; intruder detection; object detection; outdoor environments; pattern classification; people detection; person detection; supervised three layer neural network; video surveillance; Cameras; Detectors; Frequency; Layout; Motion detection; Neural networks; Object detection; Shape; Video surveillance; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007522

Filename

1007522