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COMPUTER VISION
IN THE AGE OF IOT
FROM BIG DATA
TO SYSTEM SELF-AWARENESS
YUAN-KAI WANG
FU-JEN CATHOLIC UNIVERSITY
2014/8/26
Plenary speech in International Conference on Pattern Recognition,
Stockholm, Sweden.1
2
Healthcare
Smart HomeEntertainment Security
Transportation
Industrial Others
Internet of
Things
Retails
3
IoC Challenges
4
•  IoC is closely related to camera networks, which
becomes a large-scale system.
•  System-level thinking is necessary
•  Academic expertise on algorithms, such as
computer vision and pattern recognition, are
important for accuracy, efficiency and
convenience.
•  Industrial concerns on system integration are
critical for configuration, maintenance and
management.
•  Autonomic computing with self-awareness
•  Paul Horn, 2001.
•  Camera collaboration of anomaly events
Our Experience
Wide-Area Video Surveillance in Campus
5
Video Surveillance Cloud
6
Intrusion detection
PTZ pedestrian tracking
Camera anomaly
detection
Video Synopsis
Geographical visualizationMulti-resolution fusion
and visualization
Parking lots
estimation
Illegal parking
detection
Video based
face extraction
Storage Area Network
PC
Mobile
device
Multi-core
Hypervisor
GPGPU
Yuan-Kai Wang et al. "A Large Scale Video Surveillance System with Heterogeneous Information
Fusion and Visualization for Wide Area Monitoring," IEEE Int. Conf. IIHMSP, 2012.
Our Implementation
7
System Self-Awareness
8
Fault awareness
Environment awareness
Context awareness
Camera Anomaly Detection:
Self-awareness of Camera
9
Yuan-Kai Wang et al. "Real-Time Camera Anomaly Detection for Real-World
Video Surveillance," ICMLC, 2011.
Normal
Anomaly!
Background updating
graph cut
Online Kalman filter
finite state machine
Features of image
quality and replacement
Traffic Camera Anomaly Detection
Yuan-Kai Wang et al.
"Traffic Camera Anomaly Detection," ICPR 2014.
(8/28, Balcony Level5, PM 4:00-5:40, paper no. : ThCT4p.26)
10
11
Related Publications
"  "A Large Scale Video Surveillance System with
Heterogeneous Information Fusion and Visualization for
Wide Area Monitoring," IEEE International Conference
on Intelligent Information Hiding and Multimedia Signal
Processing, 2012.
"  "Real-Time Camera Anomaly Detection for Real-World
Video Surveillance," International Conference on
Machine Learning and Cybernetics, 2011.
"  "Traffic Camera Anomaly Detection," ICPR 2014. (8/28,
Balcony Level5, PM 4:00-5:40, paper no. : ThCT4p.26)
12

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Computer Vision in the Age of IoT

  • 1. COMPUTER VISION IN THE AGE OF IOT FROM BIG DATA TO SYSTEM SELF-AWARENESS YUAN-KAI WANG FU-JEN CATHOLIC UNIVERSITY 2014/8/26 Plenary speech in International Conference on Pattern Recognition, Stockholm, Sweden.1
  • 3. 3
  • 4. IoC Challenges 4 •  IoC is closely related to camera networks, which becomes a large-scale system. •  System-level thinking is necessary •  Academic expertise on algorithms, such as computer vision and pattern recognition, are important for accuracy, efficiency and convenience. •  Industrial concerns on system integration are critical for configuration, maintenance and management. •  Autonomic computing with self-awareness •  Paul Horn, 2001. •  Camera collaboration of anomaly events
  • 5. Our Experience Wide-Area Video Surveillance in Campus 5
  • 6. Video Surveillance Cloud 6 Intrusion detection PTZ pedestrian tracking Camera anomaly detection Video Synopsis Geographical visualizationMulti-resolution fusion and visualization Parking lots estimation Illegal parking detection Video based face extraction Storage Area Network PC Mobile device Multi-core Hypervisor GPGPU Yuan-Kai Wang et al. "A Large Scale Video Surveillance System with Heterogeneous Information Fusion and Visualization for Wide Area Monitoring," IEEE Int. Conf. IIHMSP, 2012.
  • 9. Camera Anomaly Detection: Self-awareness of Camera 9 Yuan-Kai Wang et al. "Real-Time Camera Anomaly Detection for Real-World Video Surveillance," ICMLC, 2011. Normal Anomaly! Background updating graph cut Online Kalman filter finite state machine Features of image quality and replacement
  • 10. Traffic Camera Anomaly Detection Yuan-Kai Wang et al. "Traffic Camera Anomaly Detection," ICPR 2014. (8/28, Balcony Level5, PM 4:00-5:40, paper no. : ThCT4p.26) 10
  • 11. 11
  • 12. Related Publications "  "A Large Scale Video Surveillance System with Heterogeneous Information Fusion and Visualization for Wide Area Monitoring," IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012. "  "Real-Time Camera Anomaly Detection for Real-World Video Surveillance," International Conference on Machine Learning and Cybernetics, 2011. "  "Traffic Camera Anomaly Detection," ICPR 2014. (8/28, Balcony Level5, PM 4:00-5:40, paper no. : ThCT4p.26) 12