kernel-based object tracking
Mean shift based object tracking with accurat...
... kernel based object tracking ...between object models and object ...for object tracking and later many advance tracking algorithms were developed ...
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Implementation and Comparison of Kernel and Silhouette Based Object Tracking
... Object tracking in video sequences is one of the important ongoing exploration areas in the field of computer ...of object tracking is to find the trajectory of the target objects through a ...
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Rebound of Region of Interest (RROI), a New Kernel Based Algorithm for Video Object Tracking Applications
... the object being ...the object being tracked in the current frame, is also located in the same position but in next ...the object to be tracked is represented by a region of ...
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Kernel-Based Hand Tracking
... an object to be capable of being updated and tracked in the subsequent frame as in candidate model in spite of various and diverse changes and variation in the colors as feature of the hands (M cKenna, ...
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A Review : Object Detection and Object Tracking Methods
... is based on motion correspondence of several frames ...each object at each time. The final track of object is the most likely set of correspondences over time period of its observation ...B. ...
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A Hierarchical Estimator for Object Tracking
... Visual object tracking is an important issue in computer ...target tracking, and traffic monitoring. The two main types of visual tracking algorithms are target representation and localization ...
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A Scale Adaptive Method Based On Quaternion Correlation in Object Tracking
... Object tracking is a process of locating a moving object (or multiple objects) over time in video by associating target objects in consecutive video frames based on some kind of ...
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Comparative Analysis of Point-based and Kernel-based Object Identification Techniques
... visual tracking in a video sequence has always been a typical problem in the field of computer ...the tracking algorithm. In a tracking video sequence, anunknown target should be defined as anything ...
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Object Tracking via Tensor Kernel Space Projection
... tensor kernel space projection for object tracking to estimate the object state in real-world ...tensor kernel based on multi-linear singular value decomposition was ...in ...
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Online Mean Kernel Learning for Object Tracking
... the tracking problem, which might contribute to the target in the new frame dramatically dissimilar as ...features based on color intensity ...features based on ...introduced tracking errors ...
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A novel kernel PLS method for object tracking
... most tracking methods reported to handle this difficulty, thus far, is to adaptively update the target appearance model at each frame: learn a new appearance model with time invariant characteristics extracted ...
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A MOBILE BASED TRACKING SYSTEM FOR LOCATION PREDICTION OF A MOVING OBJECT
... 20 | P a g e Mobile Applications developed today contains flaws that will have to be rectified and be provided with further advancements that help’s the applications to be more efficient. The global position system (GPS) ...
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Prediction Based Moving Object Tracking in Wireless Sensor Network
... prediction based clustering algorithm for target tracking in wireless sensor network presented in [7], the author presented energy efficient tracking scheme that is based on clustering ...
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Multi Feature Based Multiple Particle Filters for Object Tracking
... The particle filter approach has been widely applied in applications of moving object tracking. The main reason is that the algorithm can deal with non-Gaussian situation and is able to manage multiple ...
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OPTIMIZATION OF OBJECT TRACKING BASED ON ENHANCED IMPERIALIST COMPETITIVE ALGORITHM
... several tracking algorithms, datasets often do not have common ground-truth object positions, resulting in difficulty when comparing the performances of the ...evaluated tracking algorithms are not ...
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Category-based grouping in working memory and multiple object tracking
... The current results are consistent with this view, suggesting that WM limitations cannot be explained just based on attentional limitations. Indeed, attention and WM seem to have different properties: MOT ...
50
Cost Effective GPS-GPRS Based Object Tracking System
... of tracking and to do so we have used NAVSTAR-GPS, a satellite based service developed and provided by United States Department of ...The tracking device ...
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Adaptive Policy-based Object Tracking using Reinforcement Learning.
... mechanism, object tracking can also be categorized as a generative model-based, discriminative model-based, or hybrid generative-discriminative ...target object; it trains tracker to ...
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A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking
... between object points across successive frames to es- timate ...moving object points do not change across successive ...those based on tracking corresponding points can, in principle, ob- tain ...
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Object Detection and Tracking in Real Time Video Based on Color
... Object tracking defined as the problem to estimate the trajectory of the object of interest moving in the ...Conventional tracking process consists of establishment of correspondences of the ...
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