동작 가설 생성과 검증을 통한 이동 물체의 검출 및 추적

Detecting and Tracking Nonstationary Objects Through Motion-Hypotheses Generation and Verification

The tasks which detect and track moving objects, by analyzing dynamic images taken at a constant time interval, are essential in various applications. This paper suggests how to utilize domain-specific knowledge and motional knowledge for detecting and tracking moving objects. That is, The trajectory information of a moving object is to be used for generating hypotheses on expected motion and expected position of moving objects, and the domain-specific knowledge is to be used for verifying the generated hypotheses.