Abstract— Human body tracking has a wide spectrum of applications. Examples include video surveillance, motion and activity capture for medical analysis, just to name a few. In this paper, a human skeleton model is proposed for human body tracking in video surveillance system. The skeleton model is based on 8 important body points namely; head, neck, shoulder, pelvis, knees and, ankles. Basical...

Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activ...

Swing-leg retraction, the backward rotation of the swing leg just prior to ground contact, is observed in human locomotion. While several advantages of swingleg retraction, like gait stability and perturbation rejection, are shown by conceptual models, there is currently very little experimental data on swing-leg retraction in human motion. In this paper, kinematic data for twenty-eight subject...

We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented. Established techniques are employed to track a kinematic model of a human body in motion, and the trajectories of the parameters are used to learn a representation of a dynamical system, which defines a gait. Various types of distance between models are then compute...

The implementation of bipedal gaits in legged robots is still a challenge in state-of-the-art engineering. Human gaits could be realized by imitating human leg dynamics where a spring-like leg behavior is found as represented in the bipedal spring-mass model. In this study we explore the gap between walking and running by investigating periodic gait patterns. We found an almost continuous morph...

The application of machine learning (ML) has made an unprecedented change in the field medicine, showing a significant potential to automate tasks and achieve objectives that are closer human cognitive capabilities. Human gait, particular, is series continuous metabolic interactions specific for humans. need intelligent recognition dynamic changes gait enables physicians clinical practice early...

We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We ...

In this paper, the research team presents some aspects concerning the design of a methodology and a human gait analysis system for persons who suffered a locomotor disfunctionality and recovered by means of implants. Thus, in the first part of the paper we analyze theoretical aspects connected to the human body biomechanics in the process of normal gait but also those concerning the emphasis of...

The advances in computing power, availability of large-capacity storage devices and research in computer vision have contributed to recent developments in gait recognition. The ease of acquiring human videos by low cost equipments makes gait recognition much easier and less intrusive than other biometric systems. In this paper, a gait recognition system using a space-model-based approach is pro...

During the past decade, robotic technology has evolved considerably towards the development of cognitive robotic systems that enable close interaction with humans. Application fields of such novel robotic technologies are now wide spreading covering a variety of human assistance functionalities, aiming in particular at supporting the needs of human beings experiencing various forms of mobility ...