Gestures are the very expressive and meaningful body motions. Gesture recognition provides meaningful expressions of motion by a human involving the hands, arms, face, head, and body. Human motion capture is used both when the subject is viewed as a single object and articulated motion with a number of joints. For example, Speech and handwriting, here gestures vary between individuals, and even...

Motion trajectory contains plentiful of motion information which is useful for motion analysis in many tasks. Motion recognition via trajectory is important in motion analysis for many human and robotic tasks. An effective descriptor for motion trajectories plays an important role in the recognition algorithm. In this paper, we propose a new descriptor with a modified data alignment method for ...

In robotics research is an increasing need for knowledge about human motions. However humans tend to perceive motion in terms of discrete motion primitives. Most systems use data-driven motion segmentation to retrieve motion primitives. Besides that the actual intention and context of the motion is not taken into account. In our work we propose a procedure for segmenting motions according to th...

This paper proposes an efficient technique for human motion recognition based on motion history images and an eigenspace technique. In recent years, human motion recognition has become one of the most popular research fields. It is expected to be applied in a security system, man-machine communication, and so on. In the proposed technique, we use two feature images and the eigenspace technique ...

Motion perception and interpretation plays an important role in the human visual system. It helps us recognize diierent objects and their motion in a scene, infer their relative depth, their rigidity, etc. In psychology, this process has been studied extensively by Johansson using moving light displays (MLDs). MLDs consist of bright spots attached to the joints of an actor dressed in black, and...