Improvement of Moving Objects Extraction from Video Sequence

نویسندگان

  • Shigemitsu Watanabe
  • Kumi Jinzenji
  • Hiroshi Watanabe
چکیده

In this paper, a method to extract moving objects on a pixel base for MPEG-4 “sprite coding” is proposed. Sprite coding is a form of object coding: it uses a unified panoramic background image derived from a sequence having a camera motion, and a foreground object as video object planes (VOP’s). The proposed algorithm utilizes background difference and watershed transformation to extract the foreground moving objects. We first apply background difference to generate a foreground candidate image. Then, watershed transformation is applied to this candidate image to extract the contours of the foreground objects. Moreover, we utilize the macroblock mask of the foreground objects, which is generated by the conventional method, to delete the unnecessary edges extracted by watershed transformation. Results given by our proposed method are more than twice as better than that of the conventional method.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A PRACTICAL APPROACH TO REAL-TIME DYNAMIC BACKGROUND GENERATION BASED ON A TEMPORAL MEDIAN FILTER

In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

متن کامل

Statistical Background Modeling Based on Velocity and Orientation of Moving Objects

Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribu...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

Memory-Based Moving Object Extraction for Video Indexing

Extracting moving objects from a video shot provides a good low-level representation of videos. It provides object trajectory, color, shape characteristics. Combined with specific domain knowledge, it can be a powerful cue as what is going in a video shot. This paper proposes a unsupervised moving object extraction/tracking system that attempts to capture salient moving objects from an image se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002