Abstract
In this paper we propose an efficient approach for Motion Vector (MV) based object detection in MPEG-1 video streams. Based on experimental results performed over the MPEG testing dataset and measuring performance using the standard recall and precision metrics for perceptual performance, and run time metric for efficiency performance. Our approach is remarkably superior to the alternative techniques. In addition to these results, we describe a user system interface that we developed, where users can maintain the configurations interactively.
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M. A. Ahmad, A. (2006). FAST AND ROBUST OBJECT SEGMENTATION APPROACH FOR MPEG VIDEOS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_108
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DOI: https://doi.org/10.1007/1-4020-4179-9_108
Publisher Name: Springer, Dordrecht
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