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Falls are a serious threat to the health of older people. A wearable fall detector can automatically detect the occurrence of a fall and alert a caregiver or an emergency response service so they may deliver immediate assistance, improving the chances of recovering from fall-related injuries. One constraint of such a wearable technology is its limited battery life. Thus, minimization of power consumption...
Cell segmentation in microscopy imagery is essential for many biomedical applications. In this paper, a novel level set based technique is proposed for segmenting the differential interference contrast (DIC) red blood cell microscopy images. Based on the framework of subjective surfaces, a local complex phase based edge indicator function is introduced to replace the traditional gradient-based edge...
Schemes for feature tracking and relative pose estimation for the final approach of rendezvous and docking procedure is proposed in this paper. Positions of the feature points were predicted by Kalman filter proposed to reduce the searching area, which effectively increased both the calculation speed and the anti-disturbance ability. Relative pose information was retrieved from solving the 3 points...
The knowledge of the pose and the orientation of mobile robot in its operating environment is of utmost importance for an autonomous robot. In this paper, we present a new robot localization method integrates distributed vision sensors with Monte Carlo localization (MCL) method. Firstly, an improved MCL method is used to estimates the posterior distribution of robot poses conditioned on sensor data...
In this paper, a precise locating method is presented which is based on machine vision for autonomous mobile robots formation. According to the request of real-time control system, at first, we adopt patterns based on texture as the features of robots formation, then utilize sub-pixel algorithm to find feature points, at last, use least square method to locate mobile robot quickly. The outcome of...
In this paper, a hybrid stereo matching algorithm which is based on feature and area process (HAFA) is presented. At first edge features are extracted and matched using wavelet transform modulus maxima representation to get a sparse disparity map. In this step, edge points are detected by getting the maxima modulus of the wavelet transform of the stereo image. At coarse scales, the local maxima of...
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