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Robust collaborative discriminative learning for RGB-infrared tracking
Xiangyuan Lan
, Mang Ye
, Shengping Zhang
,
Pong Chi Yuen
*
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
78
Citations (Scopus)
Overview
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Keyphrases
Appearance Variation
33%
Background Separation
33%
Characteristic 2
33%
Cross-modality Discrepancy
33%
Dark Environment
33%
Discriminative Learning
100%
Illumination Conditions
33%
Image Sequence
33%
Information Integration
33%
Infrared Image Sequence
33%
Infrared Thermal Camera
33%
Infrared Tracking
100%
Intelligent Video Surveillance System
33%
Large Targets
33%
Learning Framework
66%
Lighting Conditions
33%
Motion Characteristics
33%
Motion Perception
33%
Multimodality
33%
Outlier Samples
33%
Poor Lighting
33%
Process Limits
33%
Reliability Degree
33%
Reliability Measurement
33%
Reliability Target
33%
RGB Image
33%
RGB-Infrared
100%
Target Appearance
33%
Targets of Interest
33%
Tracking Algorithm
33%
Tracking Method
33%
Tracking Target
33%
Visual Characteristics
33%
Computer Science
Appearance Variation
50%
Discriminability
50%
Illumination Condition
50%
Image Sequence
100%
Learning Framework
100%
Lighting Condition
50%
Motion Characteristic
50%
Multimodality
50%
RGB Image
50%
Tracking (Position)
50%
Tracking Algorithm
50%
Tracking Process
50%
video surveillance system
50%
Visual Characteristic
50%