Video Analytics. Face and Facial Expression Recognition and Audience Measurement -

Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Third International Workshop, VAAM 2016, and Second International Workshop, FFER 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers
Buch | Softcover
X, 163 Seiten
2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-56686-3 (ISBN)
53,49 inkl. MwSt
This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. 

The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition. 

Person Re-Identification Dataset with RGB-D Camera in a Top-View Configuration.- Pervasive System for Consumer Behaviour Analysis in Retail Environments.- Estimation of task difficulty and habituation effect while visual manipulation using pupillary response.- Robust Probabilistic Logo Detection in Broadcast Videos for Audience Measurement.- Saliency Prediction for Visual Regions of Interest with Applications in Advertising.- Person Invariant Classification of Subtle Facial Expressions using Coded Movement Direction of Keypoints.- A Two-directional Two-Dimensional PCA Correlation Filter in the Phase Only Spectrum for Face Recognition in Video.- End to End Deep Learning for Single Step Real-time Facial Expression Recognition.- Comparative Study of Human Age Estimation Based on Hand-crafted and Deep Face Features.- Pose-Selective Max Pooling for Measuring Similarity.- Complementing SRCNN by Transformed Self-Exemplars. -Human Head Pose Estimation on SASE database using Random Hough Regression Forests.- Spatio-Temporal Pain Recognition in CNN-based Super-Resolved Facial Images.

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo X, 163 p. 86 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 279 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Age Estimation • Applications • Artificial Intelligence • artificial intelligence (incl. robotics) • Computer Imaging, Vision, Pattern Recognition and • Computer networking and communications • Computer Science • Computer Security • computer vision • conference proceedings • Data Mining • Deep learning • Expert systems / knowledge-based systems • face recognition • Facial Expression Recognition • Human Computer Interaction • Image Processing • Informatics • Information Systems and Communication Service • machine learning systems • Network Security • Neural networks • pain recognition • pose estimation • re-identification • Research • Robotics • Special purpose and application-based systems • Super-resolution • systems and data security • User Interfaces
ISBN-10 3-319-56686-5 / 3319566865
ISBN-13 978-3-319-56686-3 / 9783319566863
Zustand Neuware
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