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- W2267754197 abstract "The application of the traditional Camshift algorithm, which exhibits a good tracking performance in case of the obvious color characters, meanwhile, is limited in the target tracking in the color space. A fast tracking algorithm based on gray value distribution and distance kernel space is proposed. A 1.5D gray histogram method is designed to describe the model of moving object, which improves the reduction of computation for the back projection and real-time tracking performance. Moreover, a distance kernel function, describing the object weights, is constructed so as to handle the background disturbance and occlusion problem. Experiment results demonstrate the efficiency of proposed algorithm, that it can achieve a fast object tracking and resist background disturbance in some level." @default.
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- W2267754197 date "2013-01-01" @default.
- W2267754197 modified "2023-09-22" @default.
- W2267754197 title "A Real-Time Tracking Algorithm Based on Gray Distribution and Distance Kernel Space" @default.
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- W2267754197 doi "https://doi.org/10.1007/978-3-642-38466-0_23" @default.
- W2267754197 hasPublicationYear "2013" @default.
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