[PDF] Top 20 Robust Multi scale Prior L K Tracking Based on Local Features

... compositional L-K algorithm always fails to track fast moving ...improved tracking method based on multi-scale motion prior information is proposed in this ...The ... See full document

... recognition based on multi scale local binary pattern (LBP) texture features ...representative features, “uniform” LBP was proposed and its effectiveness has been ...large ... See full document

... a robust algorithm for tracking multiple whales in real time. Based on this expertise, we intend here to index the whale recordings for a later detailed dynamic anal- ysis of the whale behavior, like ... See full document

... The Kalman filter, known as the optimal linear quadratic estimator, is widely used in tracking systems. It utilizes present measurement and previous updated estimate, combining with recursive equations to predict ... See full document

... feature based approach for recognition of facial ...facial features like eyes, eyebrows and ...facial features is computed and used the set of prediction rules generated via data mining process for ... See full document

... and scale estimation into two phases in each ...filter tracking, except the deep learning features are used instead of HoG features and color ...handle scale variation, a pool of ... See full document

... the tracking results from previous frames, and these errors can be accumulated and result in tracking ...not robust to false positives and their use of detection confidence for data association is ... See full document

... to integrate into the FCM segmentation methodology concepts stimulated by the Non-Local (NL) framework. The major algorithmic contributions of this paper were the definition of an NL data term and an NL ... See full document

... and K-Means clustering algorithm ...The features of FKP are extracted using the Gabor filtering with the cropped region of interest ...congruency, local feature and local phase features ... See full document

... of tracking different moving targets in image sequence against a complicated background, this paper presents a particle-filter multi-target tracking algorithm based on their dynamic salient ... See full document

... cooperative multi-camera tracking system for large-scale au- tomate surveillance based on embedded smart cameras including stationary cameras and moving pan/tilt/zoom (PTZ) cameras embedded ... See full document

... Abstract— Fake fingerprint detection refers to the recognition of a fingerprint image that was created by using a fake fingerprint. These situation are causes the most reliable biometric technology which is fingerprint ... See full document

... Matrix Factorization: SVD, NMF, PCA etc. are matrix factorization based techniques. Secondary image is obtained by applying Non-negative Matrix Factorization (NMF) on a pseudo random sub-images generated from ... See full document

... The MOT issues become a binary labeling one with those notions which the target is to allocate a 0 or 1 label for every node or an associable tracklets pair. In this paper, we introduce an efficient as well as ... See full document

... With the exponential growth of information on the Internet, it is becoming increasingly difficult to find and organize relevant materials. Tracking task, i.e. starts from a few sample stories and finds all ... See full document

... estimated local bed shear stress values increase with higher grain sizes, however, quite significant scattering of the points can be seen ...and based on ...symbols. Based on the bed material ... See full document

... Two types of transmission systems in hydraulic apparatus, which are pump operated and valve operated transmission system are generally used in the industry fields. However, this study will only cover the valve operated ... See full document

... In the second noise experiment, the circle was moving on a parabolic trajectory (Fig. 5), gener- ated for a range of curvature angles. The smaller the curvature angle, the tighter the curve. Curva- ture angles range ... See full document

... Hog features and svm classifier methods gave the similar results with ...SIFT features and SVM classifier ...generates features by dividing the whole ...system, local descriptor should be used ... See full document

... tweezer, based on strand displacement, that opens and closes during a tweezing cycle was introduced in 2000 by Yurke ...build robust, modular circuits such as the catalytic gate described in ... See full document