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Estimating pose of human face plays important role in lip reading. Mouth shape varies on face pose variation. Therefore, pose estimation will be front end of lip reading system. Embedded HMM can be successfully applied in estimating pose of human face. Advantage of EHMM based pose estimation method is non-sensitive in parallel shift and scale varying. On the other side, SVM is the classifier which...
We propose a novel framework to recognize human-vehicle interactions from aerial video. In this scenario, the object resolution is low, the visual cues are vague, and the detection and tracking of objects are less reliable as a consequence. Any methods that require the accurate tracking of objects or the exact matching of event definition are better avoided. To address these issues, we present a temporal...
This paper presents a model-based hierarchical particle filtering algorithm to estimate the pose and anthropometric parameters of humans in multi-view environments. Our method incorporates a novel likelihood measurement approach consisting of an approximate partitioning of observations. Provided that a partitioning of the human body model has been defined and associates body parts to state space variables,...
The aim of the paper is to show that localization of observed moving objects is possible in a multi-camera multimodal environment. The proposed method based on the simple foreground mask and there is no need for further pre-processing steps. The geometrical information for multiview localization also computed by using the statistical evaluation of foreground mask: homography, vertical vanishing point...
Previous studies assumed the shoulder as a hinge joint during human arm impedance measurement. This is obviously a vast simplification since the shoulder is a complex of several joints with multiple degrees of freedom. In the present work, a practical methodology for more general and realistic estimation of human shoulder impedance is proposed and validated with a spring array. It includes a gravity...
land use is the main human disturbance to accelerate the soil erosion. According to the land use types of the Hengduan mountainous region in the Eastern Tibet, this paper discussed the influence of the land use on the soil erosion type, erosion intensity and erosion spatial distribution. It indicated that the soil erosion types changed accordingly with land use changes. Freeze-thaw erosion and water...
Analyzing the ecological benefits from different land utilization ways comparatively, by means of the evaluation of ecological service value, set a strong fulcrum for choosing rational land utilization way, and became the key point in land use pattern at present, especially in local scale. Therefore, by taking Shapingba district of Chongqing city as an example and rectifying the coefficient of ecological...
For resolving the problem of rotation-invariant human detection in natural scene, a rotation-invariant detection algorithm based on polar-HOGs and double-scale direction estimation is proposed in this paper. The algorithm first transforms rotation of object to cycle translation by using polar coordinate mapping, then eliminates the effect of rotation by applying reverse cycle translation to p-θ mapping...
Indoor monitoring system for robot and human is an important issue in robotics research. In this study, we propose an indoor monitoring system based on wireless and pyroelectric infrared (WPIR) sensory fusion system. Pyroelectric infrared (PIR) system alone for localization provides less accurate information of human location and suffers from multiple targets localization. Furthermore, radio frequency...
Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique,...
In order to ensure smooth interactions with humans, a system needs to provide appropriate services based on a clear understanding of the capabilities, characteristics, and conditions of humans. We aim to acquire qualitative and quantitative information on humans by using image-sensing technology for human observation to realize even more advanced human-system interactions. For sensing of human users,...
Motion sickness is a normal response to real, perceived, or even anticipated movement. People tend to get motion sickness on a moving boat, train, airplane, car, or amusement park rides. Motion sickness occurs when the body, the inner ear, and the eyes send conflicting signals to the brain. Sensory conflict theory that came about in the 1970's has become the most widely accepted theorem of motion-sickness...
This paper proposes an ambulatory algorithm to estimate Center of Mass (CoM) displacement of the subjects for Micro-sensor Motion Capture (MMoCap) system. Estimation of the CoM displacement is based on gait analysis and segmental kinematics. In our MMoCap system, the human body is modeled as a kinematic chain of rigid segments linked by joints, and the pelvis is considered as the root joint in the...
This paper presents a new human age estimation method by using multiple feature fusion via facial image analysis. Motivated by the fact that both shape and texture information of facial images can provide complementary information in characterizing human age, we propose fusing these two sources of information at the feature level by using canonical correlation analysis (CCA), a powerful and well-known...
This paper explores, from a theoretical and technical point of view, the role of head rotation and eye gaze directionality to the human perception of attention from non-verbal cues. We have annotated two different versions of the same dataset, in order to correlate the above parameters with the degree people have considered people in the dataset pay attention to a hypothetical task they have in front...
Human back movement estimation is clinically important for assessing patients with back pain. Most current techniques are limited to simple spinal movement angles without consideration of surrounding muscle movement and backplane rotation and torsion. These three dimensional analysis is fraught with difficulties due to the complex nature of the movement and sensor placement. In this paper, a consistent...
Motion capture data analysis and reuse is an active topic in computer graphics research. Motion graph is a widely used data structure to organize raw motion capture data. A basic preprocessing step before building a motion graph is to compute pose similarities between all pairs of frames in motion data and find out local minima as candidate transition points. However, this task can be very time consuming...
The fidelity of many inertial Body Sensor Network (BSN) applications depends on accurate spatio-temporal information retrieved from body-worn devices. However, there are many challenges caused by inherent sensor errors in inertial BSNs and the uncertainty of dynamic human motion in various situations, such as integration drift and mounting error. Spatial information is especially difficult to extract...
We are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
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