Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

Motion-based recognition deals with the recognition of objects or motions directly from the motion information extracted from a sequence of images. There are two main steps in this approach. The rst consists of nding an appropriate representation for the objects or motions, from the motion cues of the sequence, and then organize them into useful representations. The second step consists of the ...

Measurement of human motion is widely required for various applications, and a significant part of this task is to identify motion in the process of human motion recognition. There are several application purposes of doing this research such as in surveillance, entertainment, medical treatment and traffic applications as user interfaces that require the recognition of different parts of human b...

Motion trajectory can be an informative and descriptive clue that is suitable for the characterization of motion. Studying motion trajectory for effective motion description and recognition is important in many applications. For instance, motion trajectory can play an important role in the representation, recognition and learning of most long-term human or robot actions, behaviors and activitie...

Divided attention is investigated in concurrent tasks of letter recognition and second-order motion detection. I developed a quantitative method, Structure-Attention Mapping (SAM), to explain my data and to relate concurrent psychophysical experiments to the architecture of human visual cortex. A dual task paradigm, in which the interference between two tasks indicated the nature of processing ...

This paper presents a survey of different methods which describe the recognition of body and arm gesture. The methods presented in this work cover the topic of tracking and detection of arm and body gestures. But it will also present methods of recognition with help of pattern recognition methods.

The aim of this paper is a comparative analysis of methods for motion detection and human recognition in the image. Authors propose the own solution following the comparative analysis of current approaches. Then authors design and implement hardware and software solution for motion detection in the video with human recognition in the picture. The development board Intel Galileo serves as the ba...

This paper is aimed at describing a framework to implement Multi-Class Support Vector Machine (MCSVM)-based motion intention recognition. To this end, we primarily constructed a wearable exoskeleton robot of lower body which is employed as an experimentation platform to test the MCSVM-based motion intention recognition. Having disclosed prototype development and MCSVM, experimental results of m...

face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. in this paper we develop a facial expressions analysis and synthesis system. the analysis part of the system is based on the facial features extracted from facial feature points (ffp) in frontal image sequences. selected facial feature poi...