"The Next Grand Challenge in Computer Vision: From Gesture..." Prof. Lale Akarun (ICPRAM 2017) скачать в хорошем качестве

"The Next Grand Challenge in Computer Vision: From Gesture..." Prof. Lale Akarun (ICPRAM 2017)

Title: The Next Grand Challenge in Computer Vision: From Gesture Recognition to Sign Language Recognition Keynote Lecturer: Lale Akarun Presented on: 24/02/2017, Porto, Portugal Abstract: Gesture recognition has attracted the interest of researchers for decades: It was envisioned to be an attractive alternative to a mouse. In the air gestures are now commonly used in many applications. Two factors have accelerated this development: Sensors and more powerful machine learning algorithms. RGBD sensors make it possible to extract the human body from the background and powerful machine learning methods can estimate the pose of a human body. It is now possible to extract features from the articulated skeleton and recognize gestures. This has helped bring to life many applications using gestures of the human body.The ultimate grand challenge in gesture recognition is, of course, sign language recognition. In sign language, body gestures, hand shapes, and facial expressions all convey meaning.Sign language is the native means of communication of the Deaf. Each Deaf community has its own sign language, so there are as many sign languages as Deaf communities. American Sign Language is the most studied sign language in computer vision – but recent developments in RGBD sensors and deep learning methods have accelerated work in other languages, such as Chinese Sign Language, German Sign Language, British Sign Language, (and Turkish Sign Language, among others). In this talk, I will give an overview of recent work, and talk about some unsolved challenges. Event Website: http://www.icpram.org/ Presented at the following Event: ICPRAM, 6th International Conference on Pattern Recognition Applications and Methods