Object Tracking Based on Color Information Employing Particle Filter Algorithm

Abstract

IntroductionThe increasing interest in the object tracking is motivated by a huge number of promising applications that can now be tackled in real-time applications.These applications include performance analysis, surveillance, video-indexing, smart interfaces, teleconferencing and video compression and so on.However, object tracking can be extremely complex and timeconsuming especially when it is done in outdoor environments.Here, we can mention some problems of object tracking in outdoor environments such as fake-motion background, illumination changes, shadows and presence of clutter.A variety of tracking algorithms have been proposed and implemented to overcome these difficulties.They can be roughly classified into two categories: deterministic methods and stochastic methods.Deterministic methods typically track the object by performing an iterative search for a similarity between the template image and the current one.The algorithms which utilize the deterministic method are background subtraction (