About: Improving Cascade of Classifiers by Sliding Window Alignment in Between

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Improving Cascade of Classifiers by Sliding Window Alignment in Between Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We improve an object detector based on cascade of classifiers by a local alignment of the sliding window. The detector needs to operate on a relatively sparse grid in order to achieve a real time performance on high-resolution images. The proposed local alignment in the middle of the cascade improves its recognition performance whilst retaining the necessary speed. We show that the moment of the alignment matters and discuss the performance in terms of false negatives and false positives. The proposed method is tested on a car detection problem. We improve an object detector based on cascade of classifiers by a local alignment of the sliding window. The detector needs to operate on a relatively sparse grid in order to achieve a real time performance on high-resolution images. The proposed local alignment in the middle of the cascade improves its recognition performance whilst retaining the necessary speed. We show that the moment of the alignment matters and discuss the performance in terms of false negatives and false positives. The proposed method is tested on a car detection problem. (en)
Title	Improving Cascade of Classifiers by Sliding Window Alignment in Between Improving Cascade of Classifiers by Sliding Window Alignment in Between (en)
skos:prefLabel	Improving Cascade of Classifiers by Sliding Window Alignment in Between Improving Cascade of Classifiers by Sliding Window Alignment in Between (en)
skos:notation	RIV/68407700:21230/11:00187158!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(7E10044), P(GAP103/10/1585), P(GPP103/11/P700), S
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Zimmermann, Karel Svoboda, Tomáš Hurych, David
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	203966
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00187158
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	detection; alignment; sliding window; predictors; ferns; cascade classifier (en)
http://linked.open.../riv/klicoveSlovo	cascade classifier ferns sliding window alignment detection predictors
http://linked.open...ontrolniKodProRIV	[9EB17D1671D7]
http://linked.open...v/mistoKonaniAkce	Wellington
http://linked.open...i/riv/mistoVydani	Palmerston North
http://linked.open...i/riv/nazevZdroje	Proceedings of the 5th International Conference on Automation, Robotics and Applications
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced predictors for object detection and tracking in video Application of regression methods for tracking of unknown objects Natural human-robot cooperation in dynamic environments
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Svoboda, Tomáš Zimmermann, Karel Hurych, David
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-12-06 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Massey University
https://schema.org/isbn	978-1-4577-0328-7
http://localhost/t...ganizacniJednotka	21230

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software