Most SLAM (Simultaneous Localization and Mapping) algorithms are based on the assumption that scene is static. However, in practice, most real scenes usually contain moving objects. In this letter, we introduce DymSLAM, a dynamic stereo visual system being capable of reconstructing 4D (3D + time) with rigid Unlike previous attempts have considered objects as outliers ignored them, DymSLAM obtai...

Abstraet--A new discrimination function is presented for segmenting touching characters based on both pixel and profile projections. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information and spell checking are used to correct errors caused by incorrect recognition and segmentation. Based on 12 real documents, a maximum 99....

Using the RFM (Recency, Frequency, Monetary value) model can provide valuable insights about customer clusters which is core of relationship management. Due to accurate segment coming from dynamic weighted applications, in-depth targeted marketing may also use type weight R, F and M as factors. In this paper, we present our approach intended improve performance segmentation by using factors var...

Accurate tracking can facilitate the automatic extraction of metric information from video analysis. Many tracking systems rely on a sufficiently accurate dynamic model. These dynamic models must be either known a priori or learnt. This paper addresses the problem of determining dynamical system models from observed visual motion where it is assumed that the motion cannot be modeled by a single...

Pool segmentation is an essential step in the logistics management process for large-scale car rental business. Its main function involves dynamic decisions about pools clustering and regional logistics management centers selecting, whose goal is to optimize fleet utilization and improve the logistics management efficiency. According to developing mode of car rental enterprises and layout of le...

texture image analysis is one of the most important working realms of imageprocessing in medical sciences and industry. up to present, different approacheshave been proposed for segmentation of texture images. in this paper, we offeredunsupervised texture image segmentation based on markov random field (mrf)model. first, we used gabor filter with different parameters’ (frequency,orientation) va...