9 research outputs found

    High performance real-time gesture recognition using Hidden Markov Models

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    Recognizing Human Motion Using Parameterized Models of Optical Flow

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    Introduction The tracking and recognition of human motion is a challenging problem with diverse applications in virtual reality, medicine, teleoperations, animation, and human-computer interaction to name a few. The study of human motion has a long history with the use of images for analyzing animate motion beginning with the improvements in photography and the development of motion-pictures in the late nineteenth century. Scientists and artists such as Marey [12] and Muybridge [26] were early explorers of human and animal motion in images and image sequences. Today, commercial motion-capture systems can be used to accurately record the 3D movements of an instrumented person, but the motion analysis and motion recognition of an arbitrary person in a video sequence remains an unsolved problem. In this chapter we describe the representation and recognition of human motion using parameterized models of optical flow. A person's limbs, face, and facial features are represented as patches

    Human Movement Analysis Based On Explicit Motion Models

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    Within the field of computer vision the automatic interpretation of human movements is one of the most challenging tasks. A central problem in analyzing such movements is due to the fact that the human body consists of body parts linked to each other at joints which allows different movements of the parts. Therefore, the human body generally has to be treated as a nonrigid or more precisely as an articulated body. In addition, for general camera positions always some of the body parts are occluded. Although occlusions can provide important cues in a recognition task, the automatic interpretation is more difficult. Another problem that has to be dealt with is the clothing which can have a large influence on the appearence of a person (wide or tight trousers, different jackets, etc.). Clothing can also cause complex illumination phenomena that, in addition, change during movement (compare with efforts in the field of computer graphics to simulate cloth objects, e.g

    A Survey on Perception Methods for Human-Robot Interaction in Social Robots

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    10.1007/s12369-013-0199-6International Journal of Social Robotics6185-11
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