Pedestrian detection for driving assistance systems: Single-frame classification and system level performance

Amnon Shashua*, Yoram Gdalyahu, Gaby Hayun

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

323 Scopus citations

Abstract

We describe the functional and architectural breakdown of a monocular pedestrian detection system. We describe in detail our approach for single-frame classification based on a novel scheme of breaking down the class variability by repeatedly training a set of relatively simple classifiers on clusters of the training set. Single-frame classification performance results and system level performance figures for daytime conditions are presented with a discussion about the remaining gap to meet a daytime normal weather condition production system.

Original languageAmerican English
Pages1-6
Number of pages6
StatePublished - 2004
Event2004 IEEE Intelligent Vehicles Symposium - Parma, Italy
Duration: 14 Jun 200417 Jun 2004

Conference

Conference2004 IEEE Intelligent Vehicles Symposium
Country/TerritoryItaly
CityParma
Period14/06/0417/06/04

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