文件名称:log6789
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There are two main contributions in this paper. The first is to propose a joint random
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in video. The
second is to develop a real-time vehicle detection algorithm for video based traffic
monitoring. The proposed model integrates contextual constraints among both detection
labels and hidden variables during the detection process.
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in video. The
second is to develop a real-time vehicle detection algorithm for video based traffic
monitoring. The proposed model integrates contextual constraints among both detection
labels and hidden variables during the detection process.
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下载文件列表
movie_laplacian_of_gaussian_convolution_filter.m
pics_laplacian_of_gaussian_convolution_filter.m
pics_laplacian_of_gaussian_convolution_filter_noisy.m