Generally human vision system searches for salient regions and movements in video scenes to lessen the search space and effort. Using visual saliency map for modelling gives important information for understanding in many applications. In this paper we present a simple method with low computation load using visual saliency map for background subtraction in video stream. The proposed technique i...

Koblitz curves have been a nice subject of consideration for both theoretical and practical interests. The window τ -adic algorithm of Solinas (window τNAF) is the most powerful method for computing point multiplication for Koblitz curves. Precomputation plays an important role in improving the performance of point multiplication. In this paper, the concept of optimal pre-computation for window...

A novel technique for disparity estimation based on block matching with a local adaptive window is introduced in this paper. In the proposed approach the size and shape of the reference window is calculated adaptively according to the degree of reliability of disparities estimated previously and the local variation of the disparity map. The performance of the method has been verified by compute...

In this paper, we propose an efficient continuous-time LiDAR-Inertial-Camera Odometry, utilizing non-uniform B-splines to tightly couple measurements from the LiDAR, IMU, and camera. contrast uniform B-spline-based methods, our B-spline approach offers significant advantages in terms of achieving real-time efficiency high accuracy. This is accomplished by dynamically adaptively placing control ...

OBJECTIVES Accurate mu maps are important for quantitative image reconstruction in SPECT. The Compton scatter energy window (CSW) technique has been proposed to define the outline of objects. In this technique, a lower energy window image is acquired in addition to the main photo-peak energy window. The image of the lower energy window is used to estimate the edge of the scanned object to produ...

In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability th...

The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML...

In this paper we present a motion planning approach of indoor mobile robots based on integration of A* path planning algorithm and dynamic window local obstacle avoidance method. A simple and efficient procedure to the selection of appropriate motion commands based upon alignment of trajectories generated by the dynamic window module and the global geometric path is proposed. Global occupancy g...

Aiming at the influence of fewer feature points and dynamic obstacles on location mapping in off-road environments, we propose a dual-constraint LiDAR-based Simultaneous Localization Mapping (SLAM) scheme. By abstracting LiDAR registration into two constraints, namely, in-window constraints out-of-window allow our scheme to compromise between accuracy real-time performance, can exploit optimize...

Mobile location-based applications rely heavily on network connections. When the mobile devices are offline, such applications become less accessible to users. A semantic cachebased method is proposed to improve the offline accessibility for mobile location-based applications. The central idea is that when users are browsing information, the client program stores this information for later retr...