A robust multimedia surveillance system for people counting

Keyphrases

• Scale-invariant Feature Transform 100%
• People Counting 100%
• Surveillance System 100%
• Multimedia Surveillance 100%
• UCSD Dataset 66%
• Frame-level 66%
• Mall 66%
• Gaussian Mixture Model 33%
• Systems-based 33%
• Fusion Technique 33%
• Human Operator 33%
• Controller 33%
• Edge Detection 33%
• Novel Combinations 33%
• Feature Scaling 33%
• People Counting System 33%
• Pixel-wise 33%
• Grid Map 33%
• Features from Accelerated Segment Test 33%
• University of California 33%
• Background Segmentation 33%
• Mean Absolute Error 33%
• Processing Time 33%
• Corner Point 33%
• Deviation Error 33%
• Canny Algorithm 33%
• TV Camera 33%
• Motion Region 33%
• Accelerated Segment Test 33%
• Model Detection 33%
• Testing Algorithm 33%
• Closed-circuit Television 33%
• Scale-invariant Feature Transform Algorithm 33%
• Information Gathering 33%
• Counting People 33%

Computer Science

• Multimedia 100%
• Scale-Invariant Feature Transform 100%
• Gaussian Mixture Model 25%
• Fusion Technique 25%
• Human Operator 25%
• Test Algorithm 25%
• Average Accuracy 25%
• Mean Absolute Error 25%
• Edge Detection 25%
• Monitored Area 25%
• Circuit Television 25%
• Processing Time 25%
• Information Gathering 25%
• Transform Algorithm 25%