Object detection

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Methods

Support vector machine Convolutional neural networks Viola–Jones object detection framework Haar features Scale-invariant feature transform (SIFT)

15 related topics

Uses

Image annotation Activity recognition Face recognition Video object co-segmentation Tracking objects

5 related topics

Concept

Features Circles Perpendicular Face identification

4 related topics

Benchmarks

Intersection over union Precision-recall curve

2 related topics

Topics to explore

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Overview

Uses

Image annotation Automatic image annotation
Activity recognition
Face recognition
Video object co-segmentation Object co-segmentation
Tracking objects Video tracking

Concept

Features Feature (computer vision)
Circles Circle
Perpendicular
Face identification Facial recognition system

Benchmarks

Intersection over union
Precision-recall curve Receiver operating characteristic

Methods

Support vector machine
Convolutional neural networks Convolutional neural network
Viola–Jones object detection framework
Haar features Haar-like feature
Scale-invariant feature transform (SIFT) Scale-invariant feature transform
Histogram of oriented gradients (HOG) Histogram of oriented gradients
Region Proposals Region Based Convolutional Neural Networks
You Only Look Once
Detection transformer (DETR) DETR (DEtection TRansformer)
Vision transformers Vision transformer
Neural network
Starfish
Sea urchins Sea urchin
Model Computational model
False positive

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Map overview Semantic statistics

Nodes38

Edges37

Triples76

Avg. degree1.95

Density0.052632

Components1

How this topic connects Entity context

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Object detection

Top relations

has method · 25

Object detection → CNN, DETR, Fast R-CNN, Faster R-CNN, For, Haar, Histogram, HOG, Jones, Methods, Non-neural, On, OverFeat, R-CNN, RefineDet, Region Proposals, Retina-NetDeformable, SIFT, Single Shot MultiBox Detector, Single-Shot Refinement Neural Network

related to External links · 18

Object detection → CNN, DPM, Dummies Part, Fast Detection Models, Gradient Vector, HOG, Joshi, Lilian, Multiple, Object Detection DemoVideo, Object Detection Part, Overfeat, R-CNN Family, Retrieved, Snehal, SS, Top Object Detection Models, Weng

related to Further reading · 17

Object detection → Chen, Guo, IEEE, ISSN, Jieping, JPROC, Keyan, March, Proceedings, Shi, Survey, Ye, Years, Yuhong, Zhengxia, Zhenwei, Zou

related to Uses · 5

Object detection → Among, GAN, It, Often, To

see also · 3

Object detection → Feature, Fernandez, Moving

is a · 1

Object detection → computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class

Important terminology Word statistics

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Important terminology

object detection features vision image class positive neural network sea objects video computer uses also example bounding threshold iou false

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Object detection	is a	computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class	0.90	text
image annotation	instance of	UsesIt is widely used in computer vision tasks	0.80	text
vehicle counting	instance of	UsesIt is widely used in computer vision tasks	0.80	text
activity recognition	instance of	UsesIt is widely used in computer vision tasks	0.80	text
face detection	instance of	UsesIt is widely used in computer vision tasks	0.80	text
face recognition	instance of	UsesIt is widely used in computer vision tasks	0.80	text
video object co-segmentation	instance of	UsesIt is widely used in computer vision tasks	0.80	text
support vector machine	instance of	then using a technique	0.80	text
Object detection	has method	Methods	0.60	section
Object detection	has method	For	0.60	section
Object detection	has method	SVM	0.60	section
Object detection	has method	On	0.60	section

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Concept

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Methods

Advanced semantic analysis

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Object detection

How this topic connects Entity context

Object detection

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges