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Sign language is the most natural way of communication for the people with hearing problems. One of its most appealing applications is developing interfacing of human-machine interaction with more effective. A hand gesture recognition system can provide an opportunity for deaf persons to communicate with normal people without the need of an interpreter or Intermediate. In this article, we propose...
This paper proposed a new approach of extracting regions of interest based on visual attention model, which segmented image regions with the region growing algorithm. According to the physiological characteristics of Human Visual System (HVS), image features were extracted by non-uniform sampling of image and computing “center-surround”, which were used to simulate the human visual receptive field...
The paper presents an active vision system for human posture recognition, which is an important function of any assisted living system, suitable to be employed in indoor environments. Both hardware and software architectures are defined in order to meet constraints typically imposed by AAL (Ambient Assisted Living) contexts such as compactness, low-power consumption, installation simplicity, privacy...
Achieving accurate pedestrian detection for practically relevant scenarios in real-time is an important problem for many applications, while representing a major scientific challenge at the same time. In this paper we present an algorithmic framework which efficiently computes pedestrian-specific shape and motion cues and combines them in a probabilistic manner to infer the location and occlusion...
The Bohai Bay West Coast is a typical muddy coastal zone which is also the most sensitive and vulnerable areas in the geological, ecological environment. In recent years, human's activities are greatly affected its change's speed and direction. By using a combination of Remote Sensing and GIS technology, this paper utilizes lots of Remote Sensing data to monitor the coastline position, changes rules...
In many scenarios, domestic robot will regularly encounter unknown objects. In such cases, top-down knowledge about the object for detection, recognition, and classification cannot be used. To learn about the object, or to be able to grasp it, bottom-up object segmentation is an important competence for the robot. Also when there is top-down knowledge, prior segmentation of the object can improve...
The ability of a perception system to discern what is important in a scene and what is not is an invaluable asset, with multiple applications in object recognition, people detection and SLAM, among others. In this paper, we aim to analyze all sensory data available to separate a scene into a few physically meaningful parts, which we term structure, while discarding background clutter. In particular,...
Joint attention between a human user and a robot is essential for effective human-robot interaction. In this work, we propose an approach to person awareness and to the perception of showing and pointing gestures for a domestic service robot. In contrast to previous work, we do not require the person to be at a predefined position, but instead actively approach and orient towards the communication...
Reliability and availability are major concerns for autonomous systems. A personal robot has to solve complex tasks, such as loading a dishwasher or folding laundry, which are very difficult to automate robustly. In order for a robot to perform better in those applications, it needs to be capable of accepting help from a human operator.
We propose a natural 3D scene generation method using a TOF camera and real light information. We can generate 3D human actor by capturing a depth and color image of human actor using a TOF camera which uses the IR sensor. But the acquisition is processed in an indoor environment due to the time and space constraints of capturing environments. In practice, a composition using a 3D human actor with...
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Based on a mixture model for a population, we derive an efficient algorithm that clusters a set of images while co-registering them into a common coordinate frame. The output of the algorithm is a small number of template images...
A new image recognition and interpretation system for the blurred image is proposed in this paper. Some important rules of complex moments for the blurred image are presented and proofed. The proposed system is composed of regional segmentation, image recognition and image interpretation process. As a pre-processing in the regional segmentation process, an input image is divided into some proper regions...
In recent years, many researches were focused on the remote control of appliances by using hand gestures. It could narrow the gap of interaction between human and machines. In most of the gesture recognition systems, the skin colors of different mankind and the lighting conditions of clutter background environments are the major problems for the hand shape segmentation. In this paper, we propose a...
Introduction: Advanced Normalization Tools (ANTs) is an image registration program that has been validated for analysis of several tissues, but not previously applied to the disc. The objectives of this study were to optimize ANTs for disc image registration and to validate ANTs strain measurements by comparison with Vic2D, a commercially available software previously applied to quantify disc strain,...
Human movement analysis is a long-studied, but still important and challenging research area in visual surveillance. It involves many fundamental problems in computer vision such as human detection, segmentation and tracking, and higher level problems such as human gesture, action and event recognition. Shape is the most dominant cue for detecting humans due to large appearance variability. In this...
Image segmentation plays a very important role in many image understanding and computer vision techniques. Over the last few decades image segmentation techniques have been advanced significantly, though a few quantitative evaluation techniques have been proposed. Most of the segmentation evaluation techniques are largely subjective that means the evaluation is done visually, intuitively or qualitatively...
Recently, research into pathological cytology were intended to put in places of artificial intelligence systems based on the development of new diagnostic technologies and the cell image segmentation. These technologies are not intended to substitute the human expert but to facilitate his task. The objective of this work is to develop a method for diagnosing cancer cervical smears using cervical -...
We present a method for improving human segmentation results in calibrated, multi-view environments using features derived from both pixel (image) and voxel (volume) space. The main focus of this work is to develop a low-cost, vision-based system for passive activity monitoring of older adults in the home, to capture early signs of illness and functional decline and allow seniors to live independently...
Segmentation of 3D cerebral vasculature is important for clinical diagnosis. However, many relevant thin vessels are not visible in 1.5T and 3T MRA. With the recent introduction of 7T MRA, images of higher resolution can be acquired, which contain much more thin vessels. We propose a fully automatic hybrid approach for segmenting vessels from 7T MRA images of the human cerebrovascular system. First,...
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