題目：Vehicle Detection in Aerial Surveillance Videos
主講人：鄭旭詠助理教授(國立中央大學資訊工程學系)
時間：100年11月30日 (星期三13:30-15:30)
地點：三峽校區社科大樓社1F06教室
摘要：
In this talk, I will introduce aerial surveillance applications. Also, an automatic vehicle detection system for airborne videos using combined features will be presented. We escape from the stereotype frameworks of vehicle detection in existing works which are either region-based or sliding window-based. Instead, a pixel-wise classification method for vehicle detection using Dynamic Bayesian Networks is proposed. In spite of performing pixel-wise classification, relations among neighboring pixels in a region are preserved in the feature extraction process. The novelty lies in that the extracted combined features comprise not only pixel-level information but also region-level information. Experiments were conducted on a wide variety of airborne videos. No prior information of camera heights, orientation, and target object sizes is assumed in this framework. The results demonstrate flexibility and good generalization abilities of the proposed method on a challenging dataset.
