Zayif siniflandiricilardan olusan bir yaya tespit sistemi

Translated title of the contribution: A pedestrian detection system with weak classifiers

Yusuf Engin Tetik, Bülent Bolat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a pedestrian detection system which uses sliding window approach to detect pedestrians in still digital images is presented. The proposed pedestrian detection system combines weak classifiers in an Adaboost like novel way to create a strong classifier. Besides, rectangle ratios and discrete cosine transform coefficients are used as features with the well-known rectangle differences method.

Translated title of the contributionA pedestrian detection system with weak classifiers
Original languageTurkish
Title of host publication2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey
Duration: 24 Apr 201326 Apr 2013

Publication series

Name2013 21st Signal Processing and Communications Applications Conference, SIU 2013

Conference

Conference2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Country/TerritoryTurkey
CityHaspolat
Period24/04/1326/04/13

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