The scientist and engineer's guide to digital signal processing
The scientist and engineer's guide to digital signal processing
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Thermal Imaging for Anxiety Detection
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
Face detection and tracking in a video by propagating detection probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence
SELECT TOPICS IN LEGAL EVIDENCE AND ASSISTANCE BY ARTIFICIAL INTELLIGENCE TECHNIQUES
Cybernetics and Systems
O' game, can you feel my frustration?: improving user's gaming experience via stresscam
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Method to Monitor Operator Overloading
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
Automatic Initiation of the Periorbital Signal Extraction in Thermal Imagery
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Tissue Tracking in Thermo-physiological Imagery through Spatio-temporal Smoothing
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
O job can you return my mojo: improving human engagement and enjoyment in routine activities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A novel method to monitor driver's distractions
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Automatic measurement of affect in dimensional and continuous spaces: why, what, and how?
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Deceit detection via online behavioral learning
Proceedings of the 2011 ACM Symposium on Applied Computing
Eustressed or distressed?: combining physiology with observation in user studies
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Are you cool enough for Texas Hold'Em Poker?
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Towards multimodal deception detection -- step 1: building a collection of deceptive videos
Proceedings of the 14th ACM international conference on Multimodal interaction
"FaceLight": potentials and drawbacks of thermal imaging to infer driver stress
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
MPRSS'12 Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Automatic detection of deceit in verbal communication
Proceedings of the 15th ACM on International conference on multimodal interaction
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Previous work has demonstrated the correlation of increased blood perfusion in the orbital muscles and stress levels for human beings. It has also been suggested that this periorbital perfusion can be quantified through the processing of thermal video. The idea has been based on the fact that skin temperature is heavily modulated by superficial blood flow. Proof of this concept was established for two different types of stress inducing experiments: startle experiments and mock-crime polygraph interrogations. However, the polygraph interrogation scenarios were simplistic and highly constrained. In the present paper, we report results derived from a large and realistic mock-crime interrogation experiment. The interrogation is free flowing and no restrictions have been placed on the subjects. Additionally, we propose a new methodology to compute the mean periorbital temperature signal. The present approach addresses the deficiencies of the earlier methodology and is capable of coping with the challenges posed by the realistic setting. Specifically, it features a tandem CONDENSATION tracker to register the periorbital area in the context of a moving face. It operates on the raw temperature signal and tries to improve the information content by suppressing the noise level instead of amplifying the signal as a whole. Finally, a pattern recognition method classifies stressful (Deceptive) from non-stressful (Non-Deceptive) subjects based on a comparative measure between the entire interrogation signal (baseline) and a critical subsection of it (transient response). The successful classification rate is 87.2% for 39 subjects. This is on par with the success rate achieved by highly trained psycho-physiological experts and opens the way for automating lie detection in realistic settings.