Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
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
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
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
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