Sequential particle swarm optimization for visual tracking

Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approach, PSO (particle swarm optimization), is adopted for visual tracking. Since the tracking process is a dynamic optimizatio...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Xiaoqin Zhang, Weiming Hu, Maybank, S., Xi Li, Mingliang Zhu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Inference algorithms Monte Carlo methods Motion estimation Motion measurement Nonhomogeneous media Particle filters Particle swarm optimization Particle tracking Video sequences
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