CVPR Workshop on Gesture Recognition | Knowledge 4 All Foundation Ltd.

Motivation

We are organizing a workshop of gesture and sign language recognition from video data and still images. Gestures can originate from any body motion or state but commonly originate from the face or hand. Much recent research has focused on emotion recognition from face and hand gestures, with applications in gaming, marketing, and computer interfaces. Many approaches have been made using cameras and computer vision algorithms to interpret sign language for the deaf. However, the identification and recognition of postures and human behaviors is also the subject of gesture recognition techniques and has gained importance in applications such as video surveillance. This workshop aims at gathering researchers from different application domains working on gesture recognition to share algorithms and techniques.

Benchmark

One of the goals of the workshop is to launch a benchmark program on gesture recognition. Part of the workshop will be devoted to discussing the modalities of the benchmark. See our website under construction. Download sample data [or get your sample data DVD at the workshop]. Participate in a data exchange [You will need first to register to our Google group gesturechallenge to get access to the data exchange website].

Participation

We invite contributions relevant to gesture recognition, including:

Algorithms for gesture and activity recognition, in particular addressing:

Learning from unlabeled or partially labeled data
Learning from few examples per class, and transfer learning.
Continuous gesture recognition and segmentation
Deep learning architectures, including convolutional neural networks
Gesture recognition in challenging scenes, including cluttered/moving backgrounds or moving cameras, or scenes where multiple persons are present.
Integrating information from multiple channels (e.g., position/motion of multiple body parts, hand shape, facial expressions).

Data representations
Applications pertinent to the workshop topic, such as involving:

Video surveillance
Image or video indexing and retrieval
Recognition of sign languages for the deaf
Emotion recognition and affective computing
Computer interfaces
Virtual reality
Robotics
Ambiant intelligence
Games
Datasets and benchmarks

Program committee

Aleix Martinez, Ohio State University, USA
David W. Aha, Naval Research Laboratory, USA
Abe Schneider, Knexus Research, USA
Jeffrey Cohn, Carnegie Mellon University, USA
Martial Hebert, Carnegie Mellon University, USA
Dimitris Metaxas, Rutgers, New Jersey, USA
Christian Vogler, ILSP Athens, Greece
Sudeep Sarkar, University of South Florida, USA
Graham Taylor, NYU, New-York, USA
Andrew Ng, Stanford Univ., Palo Alto, CA, USA
Andrew Saxe, Stanford Univ., Palo Alto, CA, USA
Quoc Le, Stanford Univ., Palo Alto, CA, USA
David Forsyth, University of Illinois at Urbana-Champaign, USA
Maja Pantic, Imperial College, London
Philippe Dreuw, RWTH Aachen University, Germany
Richard Bowden, Univ. Surrey, UK
Fernando de la Torre, Carnegie Mellon University, USA
Paulo Gotardo, Ohio State University, Ohio, USA
Carol Neidle, Boston University, MA, USA
Trevor Darrell, UC Berkeley/ICSI, Berkeley, California, USA
Greg Mori, Simon Fraser University, Canada
Matthew Turk, UC Santa Barbara, USA
Atiqur Rahman Ahad, Faculty of Engineering, Kyushu Institute of Technology, Japan
Mingyu Chen, Georgia Institute of Technology, USA
Wenhui Xu, Georgia Institute of Technology, USA
Jesus-Omar Ocegueda-Gonzalez, University of Houston, USA
Thomas Kinsman, Rochester Institute of Technology, USA
András Lőrincz, Eötvös Loránd University, Budapest, Hungary
Upal Mahbub, Bangladesh University of Engineering, Bangladesh
Subhransu Maj, UC Berkeley, CA, USA
Lubomir Bourdev, UC Berkeley, CA, USA
Vassilis Pitsikalis, NTUA, Greece

Organizing committee

Isabelle Guyon, Clopinet, Berkeley, California
Vassilis Athitsos, University of Texas at Arlington
Jitendra Malik, UC Berkeley, California
Ivan Laptev, INRIA, France