Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model
作者： Wono Lee , Giyoung Lee , Sang-Woo Ban , Ilkyun Jung , Minho Lee
DOI: 10.1007/978-3-642-24965-5_63
关键词:
摘要: In this paper, we propose an intelligent video camera system for traffic surveillance, which can detect moving objects in road, recognize the types of objects, and track their trajectories. A dynamic saliency map based object detection model is proposed to robustly a against light condition change. Gaussian mixture (GMM) integrated with Adaboosting algorithm classifying detected into vehicles, pedestrian background. The GMM uses C1-like features HMAX as input features, are robust image translation scaling. And local appearance also tracking. Experimental results plausibly demonstrate excellence performance system.
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