[PDF] Top 20 Hierarchical fuzzy logic based approach for object tracking

... The slow decay in confidence degree when inter object occlusion situation occurs ensures that inter occluded objects continue to be tracked over a sufficient number of frames, giving the[r] ... See full document

... Target tracking is a crucial function for an autonomous mobile robot navigating in unknown ...target tracking approach based on artificial intelligence ...using fuzzy logics theory and ... See full document

... air object, if the air object is within the coverage ...air object , tracked Radar supplies range and azimuth ...air object height, there is a need to process the received information by ... See full document

... classic tracking approaches can also be carried ...a fuzzy inference engine that incorporates human ...classic tracking approaches two distinctive levels of processing were performed to implement the ... See full document

... meters, object-oriented change detection methods perform better than the traditional ...mainly based on the analysis of the spectral information and hardly analyse the shape features and structure features ... See full document

... of fuzzy sets theory [8], among them is the fuzzy sets where the membership degrees are intervals proposed in an independent way in [23, ...and fuzzy negations in [27, 6, ... See full document

... PrОЯіously unsОttlОН proЛlОm МonstіtuОnt. Even if the sustainabilitв’s attainment is a research topic field for academia and urban planners and managers and, as well, an ambitious goal for any resource administrator, yet ... See full document

... an object then selects that ...moving object selection, our application differs from theirs in a few regards: a) in our application, when users want to create an anchor for an object, the application ... See full document

... Human resource management plays an essential role on development of any business organization. Selection of employee normally depends on various criteria such as employee commitment, necessary skills, etc. Therefore, a ... See full document

... – based approached, there are a few studies which used object – based methods of image analysis to map the mangroves ...ecosystems. Object – based methods have the advantage of ... See full document

... • Fuzzy logic can be blended with conventional control ...cases fuzzy systems expends the concept of the conventional control techniques and simplify their implementation Fuzzy logic is ... See full document

... Magnetic Resonance Imaging (MRI) is an imaging used primarily in medical settings to produce high quality medical images of the soft tissues. MRI is an imaging technique used primarily in medical settings to produce high ... See full document

... Protyusha DasNeogi, and Elizabeth A. Cudney (2009) used regression analysis to compare the actual and the forecasted data. This research focuses on analyzing the predictive efficiency of the T-method and Linear ... See full document

... In the literature, there are three main techniques of data clustering applied to Hydrology: Self Organizing Feature Map (SOFM), and K-means and Fuzzy c-means (fcm) algorithms. Jingyi and Hall (2004) present, ... See full document

... methodology based on fuzzy logic approach is evaluated in terms of overall balancing ...proposed approach, rotor vibration responses measured over a long period are submitted to a ... See full document

... Abstract: This paper presents a simplified control model for stabilising a load voltage using a switched reactor in parallel with a fixed capacitor of static VAR compensator. Two IGBT’s are used to control the reactance ... See full document

... describes fuzzy logic control of induction generator speed in wind turbine ...of fuzzy controller is to establishe maximum power delivery to the grid from available wind ...disturbances. Fuzzy ... See full document

... Fuzzy logic is a perfect problem-solving methodology with a myriad of applications in embedded control and information processing ...[2]. Fuzzy provides a remarkably simple way to draw definite ... See full document

... any fuzzy logic application the first and foremost task is to select the optimum number and shape of membership functions such as bell shape, singleton, triangular, ... See full document

... reasoning based on approximations rather than crisp ...Sixteen fuzzy rules were defined for edge detection in a study conducted by Kaur et ...of fuzzy logic especially fuzzy type-2 to ... See full document