DocumentCode
1940900
Title
A multiple detector approach to low-resolution FIR pedestrian recognition
Author
Mählisch, Mirko ; Oberländer, Matthias ; Löhlein, Otto ; Gavrila, Dariu ; Ritter, Werner
Author_Institution
Dept. REI/AI, DaimlerChrysler AG, Ulm, Germany
fYear
2005
fDate
6-8 June 2005
Firstpage
325
Lastpage
330
Abstract
In this paper we present a recognition scheme, which is both reliable and fast. The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier approach. Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.
Keywords
FIR filters; driver information systems; image matching; image resolution; object detection; road traffic; cascaded classifier approach; detection algorithm; hierarchical contour matching algorithm; hyper permutation network; low-resolution FIR pedestrian recognition; multiple detector approach; particle filter approach; Detection algorithms; Finite impulse response filter; Fusion power generation; Humans; Infrared detectors; Night vision; Object detection; Performance evaluation; Shape; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN
0-7803-8961-1
Type
conf
DOI
10.1109/IVS.2005.1505123
Filename
1505123
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