Prev
MotivationsYou will never need a remote controller anymore, you will never need a light switch. Lying in bed in the dark, you will point to the ceiling to turn on the light, you will wave your hand to increase the temperature, you will make a T with your hands to turn on the TV set. You and your loved ones will feel safer at home, in parking lots, in airports: nobody will be watching, but computers will detect distressed people and suspicious activities. Computers will teach you how to effectively use gestures to enhance speech, to communicate with people who do not speak your language, to speak with deaf people, and you will easily learn many other sign languages to comminicate under water, to referee sports, etc. All that thanks to gesture recognition!
KINECT (TM)
This is a challenge on
gesture and sign language recognition
using a Kinect camera. Kinect is revolutionizing the field of gesture recognition by providing an affordable 3D camera, which records both an RGB image and a depth image (using an infrared sensor). The challenge focuses on hand gestures. Applications include man-machine communication, translating sign languages for the deaf, video surveillance, and computer gaming.
Check out some examples.
One-shot-learning
Every application needs a specialized gesture vocabulary. If we want gesture recognition to become part of everyday life, we need gesture recognition machines, which easily get tailored to new gesture vocabularies. This is why the focus of the challenge is on "one-shot-learning" of gestures, which means learning to recognize new categories of gestures from a single video clip of each gesture. The gestures will be drawn from a small vocabulary of gestures, generally related to a particular task, for instance, hand signals used by divers, finger codes to represent numerals, signals used by referees, or marchalling signals to guide vehicles or aircrafts.
To participate and for more information, visit