This work is focused on the experimental research of image processing for fast, accurate and efficient pattern recognition and motion tracking. To deal with the images and videos in real time as human beings is paramount about robot research if the robot wants to interact with the external environment in a humanoid way. In this research, object recognition and motion tracking are investigated s...

Motion trajectories provide a key and informative clue in motion characterization of humans, robots and moving objects. In this paper, we propose some new integral invariants for space motion trajectories, which benefit effective motion trajectory matching and recognition. Integral invariants are defined as the line integrals of a class of kernel functions along a motion trajectory. A robust es...

Human pose recognition algorithm for monocular video was proposed to model human part parameters using video features combination with 3D motion capture data. Firstly Constant Part Appearance (CPA) Models and threedimensional motion data projection constraint graph structure was defined. To simplify the reasoning process, a constraint graph of the spanning tree construction algorithm and the ba...

In this chapter, a compact human action recognition system is presented with a view to applications in security systems, human-computer interaction, and intelligent environments. There are three main contributions: Firstly, the framework of an embedded human action recognition system based on a support vector machine (SVM) classifier and some compact motion features has been presented. Secondly...

This report documents the program and the outcomes of Dagstuhl Seminar 16022 “Geometric and Graph-based Approaches to Collective Motion”. The seminar brought together a group of enthusiastic researchers with a diverse background. To create a shared body of knowledge the seminar featured a number of survey talks that were planned early in the week. The survey talks were rather engaging: the audi...

We used whole brain functional MRI to investigate the neural network specifically engaged in the recognition of "biological motion" defined by point-lights attached to the major joints and head of a human walker. To examine the specificity of brain regions responsive to biological motion, brain activations obtained during a "walker vs. non-walker" discrimination task were compared with those el...