This paper proposes a statistical zero pronoun resolution method that utilizes features of verbs. In Japanese speech, the subject is often omitted, especially when it is the first person. To resolve such zero pronouns, features related to the verbs such as functional expressions play important roles. However, recent state-of-the-art zero-pronoun resolution systems lack these features because th...

Abstract In this paper, we propose a novel Person Re-identification model that combines physical biometric information and traditional appearance features. After manually obtaining target human ROI from detection results, the skeleton points of person will be automatically extracted by OpenPose algorithm. Combining with (height, shoulder width.) calculated vision-based geometric estimation, fur...