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Object detection by estimating and combining high-level features
Geoffrey Levine
, Gerald Dejong
Siebel School of Computing and Data Science
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Dive into the research topics of 'Object detection by estimating and combining high-level features'. Together they form a unique fingerprint.
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Keyphrases
Local Features
100%
High-level Features
100%
Object Detection
100%
Global Features
66%
Detection System
33%
Detection Accuracy
33%
Feature-based
33%
Detection Rate
33%
Global Property
33%
Body Shape
33%
Gradient-based
33%
Object Class
33%
Statistical Profile
33%
Conditional Random Fields
33%
Color Distribution
33%
Shape Distribution
33%
PASCAL VOC
33%
Object Detection System
33%
Body Color
33%
Gradient-based Approach
33%
Computer Science
Object Detection
100%
local feature
75%
Global Feature
50%
Detection Accuracy
25%
Statistical Profile
25%
Conditional Random Field
25%
Candidate Object
25%
Detection Rate
25%
Color Distribution
25%