Detecting Pedestrian Carried Objects in Surveillance Video

碩士 === 國立臺灣科技大學 === 電子工程系 === 101 === Automatic detection of carried objects by persons in video is an important step to be used for security monitoring, crime detection, and anti-terrorist surveillance. We propose a novel method using color segmentation to extract carried objects from pedestrians....

Full description

Bibliographic Details
Main Authors: Yueh-ju Tai, 戴悅如
Other Authors: Mon-chau Shie
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/27338140265642044146