FPGA Implementation of Particle Filter Based Object Tracking in Video

Abstract

There is a continuous requirement of enhancing the computation speed with minimum resources to improve performance of signal processing algorithm. This paper proposes an architecture and implementation of a modified color histogram based Particle filter for object tracking in video. This architecture implements weight calculation and histogram calculation in a highly parallel form. The proposed architecture occupies less resource saving by effective memory utilization. The performance of the algorithm is demonstrated using a single object scenario.