A Novel Low-cost FPGA-based Real-time Object Tracking System

16 Apr 2018 Peng Gao Ruyue Yuan Zhicong Lin Linsheng Zhang Yan Zhang

In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power. Therefore, in this paper, to reduce the computational burden of the Camshift algorithm, we propose a novel visual object tracking algorithm by exploiting the properties of the binary classifier and Kalman predictor... (read more)

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