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MSMCT: Multi-State Multi-Camera Tracker
Behzad BOZORGTABAR, Roland GOECKE
Information Systems
Research output
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Contribution to journal
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Article
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peer-review
7
Citations (Scopus)
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Dive into the research topics of 'MSMCT: Multi-State Multi-Camera Tracker'. Together they form a unique fingerprint.
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Keyphrases
Tracker
100%
Multi-camera
100%
Target Hypothesis
66%
Illumination Variation
33%
Appearance Cues
33%
Single Camera
33%
Similarity Measure
33%
Large Set
33%
Optimization Problem
33%
Occlusion
33%
Non-overlapping
33%
Visual Tracking
33%
Input Level
33%
Specific Model
33%
Certainty of Evidence
33%
Multi-target Tracking
33%
Target Trajectory
33%
Tracking Data
33%
Multiple Persons
33%
Iterative Procedure
33%
Graph Optimization Problem
33%
Non-overlapping Cameras
33%
Video Tracking
33%
Group Behavior Analysis
33%
Viewpoint Variations
33%
Camera Tracking
33%
Multiple Tracks
33%
State Graph
33%
Occluded Target
33%
Computer Science
Optimization Problem
100%
Illumination Variation
50%
Appearance Cue
50%
Tracking (Position)
50%
Behavior Analysis
50%
Optical Tracking
50%
Tracking Data
50%