期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：10
页码：127-129
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Real-time object tracking is recently becoming more and more important in the field of video analysis and processing. Applications like traffic-control, user-computer interaction, online video dispensation and production and video surveillance need reliable and economically reasonable video tracking tools. We have an algorithm which uses motion vector as well as color for tracking objects from MPEG video Here we explain a new approach for object tracking in compressed domain. Instead of using a single indication to solve this problem, we unite motion vector as well as color for tracking objects from MPEG video. Further we will trained neural network for each feature of object (colour,texture,shape etc) so that feature extraction of any object can be done in suitable way after that tracking of that moving object can be done every easily for any domain.
