[PDF] Top 20 Multi-feature Fusion Tracking Based on A New Particle Filter

... She is a professor of Lanzhou University of Technology, doctoral tutor, and the "second level" candidates of Gansu leading talent. She presided over the completion of the "Gelatin production process of ... See full document

... distribution feature, target contour feature and edge gradient histogram of video targets, and calculate the matching degree between the candidate feature and target ...distribution feature ... See full document

... the new particle set, which has high probability to be close to true ...generic particle filter through intermediate auxiliary weights computed prior to the generation of a new ... See full document

... Particle filter based tracking is used to track human in indoor or outdoor ...environment. Particle filter algorithm is a popular substitute for the many of the filters like ... See full document

... The particle filter approach has been widely applied in applications of moving object ...of tracking objects ...multiple particle filters ... See full document

... target tracking methods have been applied to the research of cell tracking, such as meanshift algorithm [2,3], level set [4] algorithm, extended Kalman filter[5],particle filter [6] and ... See full document

... occlusion tracking which failed with severe occlusion conditions because of hidden ...superior tracking results multiple kernels are enrolled for these years consider scale change in [3], the color ... See full document

... for tracking airborne targets flying in AEW ...Kalman filter (EKF) and particle filter (PF), the radar and electronic support measure (ESM) joint tracking BDZ target technique ... See full document

... GHM multi wavelet transform is considered for the multi scale ...implement Multi wavelet transforms a new filter bank structure where the low pass and high pass filter banks are ... See full document

... novel tracking algorithm GOPF by incorporating PF and the replication of new particles based on gravitational attraction which improves the sampling efficiency as well as significantly reducing the ... See full document

... positioning, tracking and navigation (constituting of position, velocity and attitude ...data based on the self-contained measurements derived from inertial sensors (accelerometers and gyroscopes) ... See full document

... hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment ...calculated based on the similarity between feature ... See full document

... salient feature is characterized by higher robustness and interference resistance than unitary image grayscale ...this feature is combined with particle filter and used as the state ... See full document

... approach based on the features do not change with the goal to find out the features described object structures (features unchanged posture, placement of television devices, brightness change, ... See full document

... system, multi- sensor systems are with better performance, more wide coverage, better precision and reliability, but the advantages are limited by deficiencies of some key technologies, such as sensor bias ... See full document

... Target automatic tracking is a key technology in the field of measurement and control. It has very important applications in intelligent monitoring, national defense reconnaissance, military measurement and other ... See full document

... object tracking method is proposed, which is divided into two parts: robust tracker based on complementary feature fusion with channel reliability, and reliable validator based on ... See full document

... Table 1 Using Skin Color Model to do average human-face detection, the average detection rate is 59.97%; using our improved particle filter method to track human face, the average detect[r] ... See full document

... Object tracking is also an important application for embedded ...processors based on the ARM platform are widely used in smartphones, tablets, smart wearable devices, and are being intro- duced into many ... See full document

... objects based on a Pursuit scheme using an over-complete ...is based on Stauffer et al’s [4] framework, the difference lies in the introduction of a shadow detection ...A multi-class feature ... See full document