| 主講人：陳祝嵩 教授(中研院資訊所研究員)) 時間：102年1月2日 地點：三峽校區人文大樓文1F11教室 題目：Some results on Human Detection and Age Estimation 大綱: In this talk, I’ll introduce a human (or pedestrian) detection method at first. We proposed a method that can detect humans in a single image based on a novel cascaded structure that exploits both the stage-wise classification information and the interstage cross-reference information. In our approach, both intensity-based rectangle features and gradient-based 1-D features are employed in the feature pool for weak-learner selection. The Real AdaBoost algorithm is used to select critical features from a combined feature set and learn the classifiers from the training images for each stage of the cascaded structure. Then, I’ll introduce our recent study on human age estimation based on face images. We propose an ordinal hyperplane ranking algorithm called OHRank, which estimates human ages via facial images. The design of the algorithm is based on the relative order information among the age labels in a database. Each ordinal hyperplane separates all the facial images into two groups according to the relative order, and a cost-sensitive property is exploited to find better hy-perplanes based on the classification costs. Human ages are inferred by aggregating a set of preferences from the ordinal hyperplanes with their cost sensitivities. 敬邀參加～ |
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