JOURNAL ARTICLE

Moving object detection from MPEG video stream

Abstract

Moving object detection is a useful tool for the manipulation of video contents for such purposes as intelligent video browsing/analysis and video surveillance systems. There are a variety of methods to detect moving objects not only on pixel domain data but also on coded data domain. In this article, we propose an effective moving object detection method from MPEG-coded data. This method utilizes motion vectors and DCT coefficient data in the MPEG streams. Since motion vectors and DCT coefficients can be obtained without full decoding of original MPEG stream, fast detection can be expected. However, motion vector information does not always represent the real object motion. In addition, there are cases where no motion information is provided from coded data, such as the case of intracoded picture. It is shown in the experiments that the proposed method can detect moving objects successfully in such cases. © 1999 Scripta Technica, Syst Comp Jpn, 30(13): 1–12, 1999

Keywords:
Computer science Computer vision Artificial intelligence Motion vector Motion compensation Discrete cosine transform Object detection Object (grammar) Motion detection Motion (physics) Video tracking Decoding methods MPEG-4 MPEG-2 Block-matching algorithm Pixel Domain (mathematical analysis) Quarter-pixel motion Computer graphics (images) Pattern recognition (psychology) Image (mathematics) Coding (social sciences) Real-time computing Mathematics Algorithm

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Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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