Rapid object detection using a boosted cascade of simple features | VitaVision
PaperCVPR · 2001

Rapid object detection using a boosted cascade of simple features

Paul ViolaMichael Jones
DOIView in graph
1page built on it
4more pages cite it
2narratives
2registry papers cite it

In the Atlas

AlgorithmPrimary source of
Viola–Jones Object Detector

Real-time frontal-face detection by sliding a fixed 24×24 sub-window across a grayscale image at multiple scales, scoring each position with an AdaBoost-selected ensemble of integral-image rectangle features arranged in a 38-stage attentional cascade that rejects most background regions after evaluating ~10 features per sub-window.

Cited as a reference by 4 pages, grouped by domain

Features 3
BRIEF: Binary Robust Independent Elementary FeaturesIntegral ImageSURF: Speeded Up Robust Features
Detection 1
Deformable Part Models

Appears in 2 narratives

NarrativeDetection, Removing the MachineryNarrativeVision Under a Latency Budget

Lineage

Papers in the Atlas registry only · one dot per paper
Built upon by · 2
’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17Object Detection with Discriminatively Trained Part-Based Models (2010)Focal Loss for Dense Object Detection (2017)
Builds on · 0