Multi-pose face recognition for person retrieval in camera networks

Keyphrases

• Facial Features 100%
• Person Retrieval 100%
• Camera Network 100%
• Multi-pose Face Recognition 100%
• Mean Average Precision 50%
• Person Identification 50%
• Person Re-identification 50%
• Evaluation Results 50%
• Query Set 50%
• Appearance Features 50%
• Whole-body 50%
• Single Track 50%
• Surveillance Data 50%
• Body Appearance 50%
• Interactive Retrieval 50%
• Distributed Camera Networks 50%
• Relevance Feedback 50%
• Video Database 50%
• Face Resolution 50%
• Re-identification 50%
• Surveillance Scenarios 50%

Computer Science

• Face Recognition 100%
• Information Retrieval 100%
• Reidentification 66%
• Facial Appearance 33%
• Facial Feature 33%
• Evaluation Result 33%
• Mean Average Precision 33%
• Video Database 33%
• Relevance Feedback 33%
• Data Surveillance 33%