A Dynamic Model for Real-Time Tracking of Hands in Bimanual Movements
نویسندگان
چکیده
The problem of hand tracking in the presence of occlusion is addressed. In bimanual movements the hands tend to be synchronised effortlessly. Different aspects of this synchronisation are the basis of our research to track the hands. We propose a Kalman filtering-based dynamic model to catch the movement of the hands. The spatial synchronisation in bimanual movements is modelled by the position and the temporal synchronisation by the velocity and acceleration of each hand. Based on this model, we introduce algorithms for occlusion detection and hand tracking during occlusion.
منابع مشابه
Potentials of Evolving Linear Models in Tracking Control Design for Nonlinear Variable Structure Systems
Evolving models have found applications in many real world systems. In this paper, potentials of the Evolving Linear Models (ELMs) in tracking control design for nonlinear variable structure systems are introduced. At first, an ELM is introduced as a dynamic single input, single output (SISO) linear model whose parameters as well as dynamic orders of input and output signals can change through ...
متن کاملBimanual Hand Tracking based on AR-KLT
Robot and human interaction has received a significant amount of attention in the robot vision research community in the past decades. This has been motivated by the desire of understanding human gesture/motion tracking and recognition. If you solve tracking problems under the circumstance of fast movement, occlusion, and illumination, then you need to complicate calculation, and hence the comp...
متن کاملA Real-time Motion Tracking Wireless System for Upper Limb Exosuit Based on Inertial Measurement Units and Flex Sensors (TECHNICAL NOTE)
This paper puts forward a real-time angular tracking (motion capture) system for a low cost upper limb exosuit based on sensor fusion; which is integrated by an elastic sleeve-mitten, two inertial measurement units (IMU), two flex sensors and a wireless communication system. The device can accurately detect the angular position of the shoulder (flexion-extension, abduction-adduction and interna...
متن کاملNeural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملA study on the accuracy of motion tracking of thoracic tumors at radiotherapy with external surrogates
Introduction: In radiotherapy with external surrogates, exact information of tumor position is one of the key factors that improves treatment delivery. Many dynamic tumors in thorax region of patient move mainly due to respiration and are known as intra-fractional motion error that must be compensated, as well. One of clinical strategy is using Stereotactic Body Radiation Thera...
متن کامل