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CCTV cameras are becoming a common fixture at the roadside. Their use varies from traffic monitoring to security surveillance. In this paper an advanced two-stage framework for estimating vehicular traffic density on a road segment is presented. The proposed approach is computationally efficient and robust to varying illumination. The method is novel because it combines state-of-the-art image processing...
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intra-class variations and real-time requirement. In this paper, we propose a new strategy for object classification by boosting different local feature descriptors in motion blobs. We not only evaluate the performance of each local feature descriptor,...
In this paper, we proposed an intelligent visual surveillance in specific sea-area based on video processing. We apply the technology of computer vision and video processing to implement the automatic system. At the first, we separate background and foreground in videos, and set a weight to update the new background. To extract the moving ships in videos, we apply the techniques including the change...
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