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Motion Object Detection Based on MPEG-4 Video

Author: DongWenTao
Tutor: TianYuMin
School: Xi'an University of Electronic Science and Technology
Course: Computer System Architecture
Keywords: MPEG-4 Target detection DC coefficient Motion vector Global motion estimation
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 95
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Abstract


Moving object detection is the field of image processing and computer vision in a very active branch , has a wide range of applications in many aspects in the field of video surveillance and military . This paper focuses on the compressed domain moving target detection technology , has made ??a detailed study based on MPEG-4 , single - target detection . MPEG-4 video streams captured by a stationary camera moving target detection problem , this paper presents an improved domain moving target detection algorithm based on the MPEG-4 compression . The algorithm directly to obtain the motion vector in the compressed code stream , and use the good characteristics of the iterative filter as much as possible to restore the real motion vector information , using adaptive threshold selection method identifies the motion area by the motion vector . On this basis , the first calculation of the difference of the DC coefficient of the DC coefficient and the center of the the eight neighborhood within the sliding window block mold , and then according to the selected threshold value to determine the movement characteristics of the central block , and then extended motion area , calculate the background blocks in the new zone the average DC coefficient, and , with the edge block difference value calculation , and then adjust the edge block . The algorithm takes advantage of the MPEG-4 stream contains the motion information , overcome only by the motion vector detection of moving targets error big disadvantage . Experimental results show that the algorithm does not need to fully decode the compressed stream , can greatly improve the detection efficiency and improve the detection results on the different video sequences with good universality remains well under the influence of the light intensity, luminance and other factors robustness. Oriented sports background , global motion estimation is a widely used method to extract moving targets . This paper presents a direct use of the compressed video stream improved algorithm for global motion estimation . The algorithm starting from the basis of the global motion estimation , using the similarity of the characteristics of background macroblock motion quickly establish background macroblock collection and four parameter commonly used in the global motion estimation model estimation motion parameters . Finally, to calculate the motion vector residual, and the detection of moving targets . Experimental results show that the proposed algorithm only half decoding of compressed video stream to improve the detection efficiency , and improve the detection effect .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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